{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:09:37Z","timestamp":1755839377407,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T00:00:00Z","timestamp":1661212800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,8,23]]},"DOI":"10.1145\/3539813.3545119","type":"proceedings-article","created":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T22:18:32Z","timestamp":1661465912000},"page":"204-213","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A General Framework for Pairwise Unbiased Learning to Rank"],"prefix":"10.1145","author":[{"given":"Alexey","family":"Kurennoy","sequence":"first","affiliation":[{"name":"Zalando, Dublin, Ireland"}]},{"given":"John","family":"Coleman","sequence":"additional","affiliation":[{"name":"Zalando, Dublin, Ireland"}]},{"given":"Ian","family":"Harris","sequence":"additional","affiliation":[{"name":"Zalando, Dublin, Ireland"}]},{"given":"Alice","family":"Lynch","sequence":"additional","affiliation":[{"name":"Zalando, Dublin, Ireland"}]},{"given":"Oisin","family":"Mac Fhearai","sequence":"additional","affiliation":[{"name":"Zalando, Dublin, Ireland"}]},{"given":"Daphne","family":"Tsatsoulis","sequence":"additional","affiliation":[{"name":"Zalando, Dublin, Ireland"}]}],"member":"320","published-online":{"date-parts":[[2022,8,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331202"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291017"},{"key":"e_1_3_2_1_3_1","volume-title":"The 41st International ACM SIGIR Conference on Research; Development in Information Retrieval","author":"Ai Qingyao","year":"2099","unstructured":"Qingyao Ai , Keping Bi , Cheng Luo , Jiafeng Guo , and W. Bruce Croft . 2018. Unbiased Learning to Rank with Unbiased Propensity Estimation . In The 41st International ACM SIGIR Conference on Research; Development in Information Retrieval ( Ann Arbor, MI, USA) (SIGIR '18). Association for Computing Machinery, New York, NY, USA, 385--394. https:\/\/doi.org\/10.1145\/3 2099 78.3209986 Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, and W. Bruce Croft. 2018. Unbiased Learning to Rank with Unbiased Propensity Estimation. In The 41st International ACM SIGIR Conference on Research; Development in Information Retrieval (Ann Arbor, MI, USA) (SIGIR '18). Association for Computing Machinery, New York, NY, USA, 385--394. https:\/\/doi.org\/10.1145\/3209978.3209986"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3439861"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 2010 International Conference on Yahoo! Learning to Rank Challenge -","volume":"14","author":"Chapelle Olivier","year":"2010","unstructured":"Olivier Chapelle and Yi Chang . 2010 . Yahoo! Learning to Rank Challenge Overview . In Proceedings of the 2010 International Conference on Yahoo! Learning to Rank Challenge - Volume 14 (Haifa, Israel) (YLRC'10). JMLR.org, 1--24. Olivier Chapelle and Yi Chang. 2010. Yahoo! Learning to Rank Challenge Overview. In Proceedings of the 2010 International Conference on Yahoo! Learning to Rank Challenge - Volume 14 (Haifa, Israel) (YLRC'10). JMLR.org, 1--24."},{"key":"e_1_3_2_1_7_1","volume-title":"Bias and Debias in Recommender System: A Survey and Future Directions. ArXiv","author":"Chen Jiawei","year":"2020","unstructured":"Jiawei Chen , Hande Dong , Xiang Wang , Fuli Feng , Meng Wang , and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. ArXiv , Vol. abs\/ 2010 .03240 ( 2020 ). Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. ArXiv , Vol. abs\/2010.03240 (2020)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Aleksandr Chuklin Ilya Markov and M. de Rijke. 2015. Click Models for Web Search. In Click Models for Web Search .  Aleksandr Chuklin Ilya Markov and M. de Rijke. 2015. Click Models for Web Search. In Click Models for Web Search .","DOI":"10.1007\/978-3-031-02294-4"},{"key":"e_1_3_2_1_9_1","volume-title":"Intervention Harvesting for Context-Dependent Examination-Bias Estimation. CoRR","author":"Fang Zhichong","year":"1802","unstructured":"Zhichong Fang , Aman Agarwal , and Thorsten Joachims . 2018. Intervention Harvesting for Context-Dependent Examination-Bias Estimation. CoRR , Vol. abs\/ 1811 .0 1802 (2018). showeprint[arXiv]1811.01802 http:\/\/arxiv.org\/abs\/1811.01802 Zhichong Fang, Aman Agarwal, and Thorsten Joachims. 2018. Intervention Harvesting for Context-Dependent Examination-Bias Estimation. CoRR , Vol. abs\/1811.01802 (2018). showeprint[arXiv]1811.01802 http:\/\/arxiv.org\/abs\/1811.01802"},{"volume-title":"Debiasing Grid-Based Product Search in E-Commerce","author":"Guo Ruocheng","key":"e_1_3_2_1_10_1","unstructured":"Ruocheng Guo , Xiaoting Zhao , Adam Henderson , Liangjie Hong , and Huan Liu . 2020. Debiasing Grid-Based Product Search in E-Commerce . Association for Computing Machinery , New York, NY, USA , 2852--2860. https:\/\/doi.org\/10.1145\/3394486.3403336 Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, and Huan Liu. 2020. Debiasing Grid-Based Product Search in E-Commerce .Association for Computing Machinery, New York, NY, USA, 2852--2860. https:\/\/doi.org\/10.1145\/3394486.3403336"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313447"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130332.3130334"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018699"},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Ke Guolin","year":"2017","unstructured":"Guolin Ke , Qi Meng , Thomas Finley , Taifeng Wang , Wei Chen , Weidong Ma , Qiwei Ye , and Tie-Yan Liu . 2017 . LightGBM: A Highly Efficient Gradient Boosting Decision Tree . In Proceedings of the 31st International Conference on Neural Information Processing Systems ( Long Beach, California, USA) (NIPS'17). Curran Associates Inc., Red Hook, NY, USA, 3149--3157. Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017. LightGBM: A Highly Efficient Gradient Boosting Decision Tree. In Proceedings of the 31st International Conference on Neural Information Processing Systems (Long Beach, California, USA) (NIPS'17). Curran Associates Inc., Red Hook, NY, USA, 3149--3157."},{"key":"e_1_3_2_1_15_1","unstructured":"Haruka Kiyohara and Yuta Saito. 2021. A Collection of Research and Review Papers on Offline Reinforcement Learning and Off-Policy Evaluation. https:\/\/github.com\/hanjuku-kaso\/awesome-offline-rl  Haruka Kiyohara and Yuta Saito. 2021. A Collection of Research and Review Papers on Offline Reinforcement Learning and Off-Policy Evaluation. https:\/\/github.com\/hanjuku-kaso\/awesome-offline-rl"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498380"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220028"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271686"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441794"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3409256.3409812"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371783"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/2789272.2886805"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 32nd International Conference on International Conference on Machine Learning -","volume":"37","author":"Swaminathan Adith","year":"2015","unstructured":"Adith Swaminathan and Thorsten Joachims . 2015 b. Counterfactual Risk Minimization: Learning from Logged Bandit Feedback . In Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37 (Lille, France) (ICML'15). JMLR.org, 814--823. Adith Swaminathan and Thorsten Joachims. 2015b. Counterfactual Risk Minimization: Learning from Logged Bandit Feedback. In Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37 (Lille, France) (ICML'15). JMLR.org, 814--823."},{"key":"e_1_3_2_1_24_1","volume-title":"Garnett (Eds.)","volume":"28","author":"Swaminathan Adith","year":"2015","unstructured":"Adith Swaminathan and Thorsten Joachims . 2015 c. The Self-Normalized Estimator for Counterfactual Learning. In Advances in Neural Information Processing Systems, C. Cortes, N. Lawrence, D. Lee, M. Sugiyama, and R . Garnett (Eds.) , Vol. 28 . Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper\/ 2015\/file\/39027dfad5138c9ca0c474d71db915c3-Paper.pdf Adith Swaminathan and Thorsten Joachims. 2015c. The Self-Normalized Estimator for Counterfactual Learning. In Advances in Neural Information Processing Systems, C. Cortes, N. Lawrence, D. Lee, M. Sugiyama, and R. Garnett (Eds.), Vol. 28. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper\/2015\/file\/39027dfad5138c9ca0c474d71db915c3-Paper.pdf"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911537"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159732"},{"key":"e_1_3_2_1_27_1","volume-title":"Grid-Based Evaluation Metrics for Web Image Search. In The World Wide Web Conference","author":"Xie Xiaohui","year":"2019","unstructured":"Xiaohui Xie , Jiaxin Mao , Yiqun Liu , Maarten de Rijke , Yunqiu Shao , Zixin Ye , Min Zhang , and Shaoping Ma . 2019 . Grid-Based Evaluation Metrics for Web Image Search. In The World Wide Web Conference ( San Francisco, CA, USA) (WWW '19). Association for Computing Machinery, New York, NY, USA, 2103--2114. https:\/\/doi.org\/10.1145\/3308558.3313514 Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Yunqiu Shao, Zixin Ye, Min Zhang, and Shaoping Ma. 2019. Grid-Based Evaluation Metrics for Web Image Search. In The World Wide Web Conference (San Francisco, CA, USA) (WWW '19). Association for Computing Machinery, New York, NY, USA, 2103--2114. https:\/\/doi.org\/10.1145\/3308558.3313514"}],"event":{"name":"ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Madrid Spain","acronym":"ICTIR '22"},"container-title":["Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539813.3545119","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539813.3545119","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:03Z","timestamp":1750183803000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539813.3545119"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,23]]},"references-count":26,"alternative-id":["10.1145\/3539813.3545119","10.1145\/3539813"],"URL":"https:\/\/doi.org\/10.1145\/3539813.3545119","relation":{},"subject":[],"published":{"date-parts":[[2022,8,23]]},"assertion":[{"value":"2022-08-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}