Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization-Reference-Cited by-同舟云学术

Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Gupta Shashank¹^ORCID,Oosterhuis Harrie²^ORCID,de Rijke Maarten¹^ORCID

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

2. Radboud Universiteit, Nijmegen, Netherlands

Funder

the Hybrid Intelligence Center

the SURF Cooperative

Huawei Finland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591760

Reference50 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. 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.

3. A dynamic bayesian network click model for web search ranking

4. TianGong-ST

5. Aleksandr Chuklin , Ilya Markov , and Maarten de Rijke . 2015. Click Models for Web Search . Morgan & Claypool Publishers . Aleksandr Chuklin, Ilya Markov, and Maarten de Rijke. 2015. Click Models for Web Search. Morgan & Claypool Publishers.

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