Recent Advances in the Foundations and Applications of Unbiased Learning to Rank

Author:

Gupta Shashank1ORCID,Hager Philipp1ORCID,Huang Jin1ORCID,Vardasbi Ali1ORCID,Oosterhuis Harrie2ORCID

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

2. Radboud University, Nijmegen, Netherlands

Publisher

ACM

Reference58 articles.

1. Aman Agarwal , Xuanhui Wang , Cheng Li , Michael Bendersky , and Marc Najork . 2019 . Addressing Trust Bias for Unbiased Learning-to-rank. In The World Wide Web Conference. 4--14 . Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, and Marc Najork. 2019. Addressing Trust Bias for Unbiased Learning-to-rank. In The World Wide Web Conference. 4--14.

2. Qingyao Ai , Jiaxin Mao , Yiqun Liu , and W Bruce Croft . 2018 . Unbiased learning to rank: Theory and practice . In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 2305--2306 . Qingyao Ai, Jiaxin Mao, Yiqun Liu, and W Bruce Croft. 2018. Unbiased learning to rank: Theory and practice. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 2305--2306.

3. Asia J Biega , Krishna P Gummadi , and Gerhard Weikum . 2018. Equity of attention: Amortizing individual fairness in rankings . In The 41st international acm sigir conference on research & development in information retrieval. 405--414. Asia J Biega, Krishna P Gummadi, and Gerhard Weikum. 2018. Equity of attention: Amortizing individual fairness in rankings. In The 41st international acm sigir conference on research & development in information retrieval. 405--414.

4. Adam Block , Rahul Kidambi , Daniel N Hill , Thorsten Joachims , and Inderjit S Dhillon . 2022. Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. arXiv preprint arXiv:2204.10936 ( 2022 ). Adam Block, Rahul Kidambi, Daniel N Hill, Thorsten Joachims, and Inderjit S Dhillon. 2022. Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. arXiv preprint arXiv:2204.10936 (2022).

5. Olivier Chapelle and Yi Chang . 2011 . Yahoo! Learning to Rank Challenge Overview . In Proceedings of the learning to rank challenge. PMLR, 1--24 . Olivier Chapelle and Yi Chang. 2011. Yahoo! Learning to Rank Challenge Overview. In Proceedings of the learning to rank challenge. PMLR, 1--24.

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1. A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback;Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval;2023-08-09

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