Rolf Jagerman

2025

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

Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?

Minghan Li|Honglei Zhuang|Kai Hui|Zhen Qin|Jimmy Lin|Rolf Jagerman|Xuanhui Wang|Michael Bendersky

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

2023

Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.

Aijun Bai|Rolf Jagerman|Zhen Qin|Le Yan|Pratyush Kar|Bing-Rong Lin|Xuanhui Wang|Michael Bendersky|Marc Najork

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.

Honglei Zhuang|Zhen Qin|Rolf Jagerman|Kai Hui|Ji Ma|Jing Lu|Jianmo Ni|Xuanhui Wang|Michael Bendersky

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

On Optimizing Top-K Metrics for Neural Ranking Models.

Rolf Jagerman|Zhen Qin|Xuanhui Wang|Michael Bendersky|Marc Najork

SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

Improving Cloud Storage Search with User Activity.

Rolf Jagerman|Weize Kong|Rama Kumar Pasumarthi|Zhen Qin|Michael Bendersky|Marc Najork

WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2020

Safe Exploration for Optimizing Contextual Bandits.

Rolf Jagerman|Ilya Markov|Maarten de Rijke

ACM Transactions on Information Systems (TOIS) 2020 Volume 38 Issue 3

Accelerated Convergence for Counterfactual Learning to Rank.

Rolf Jagerman|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

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

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.

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.

When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments.

Rolf Jagerman|Ilya Markov|Maarten de Rijke

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

2017

Computing Web-scale Topic Models using an Asynchronous Parameter Server.

Rolf Jagerman|Carsten Eickhoff|Maarten de Rijke

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

Overview of TREC OpenSearch 2017.

Rolf Jagerman|Krisztian Balog|Philipp Schaer|Johann Schaible|Narges Tavakolpoursaleh|Maarten de Rijke

Proceedings of The Twenty-Sixth Text REtrieval Conference, TREC 2017, Gaithersburg, Maryland, USA, November 15-17, 2017