{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:15:02Z","timestamp":1775283302988,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"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":[[2021,7,11]]},"DOI":"10.1145\/3404835.3462901","type":"proceedings-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T03:08:41Z","timestamp":1626059321000},"page":"285-294","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Adapting Interactional Observation Embedding for Counterfactual Learning to Rank"],"prefix":"10.1145","author":[{"given":"Mouxiang","family":"Chen","sequence":"first","affiliation":[{"name":"Zhejiang University & Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China"}]},{"given":"Chenghao","family":"Liu","sequence":"additional","affiliation":[{"name":"Salesforce Research Asia, Singapore, Singapore"}]},{"given":"Jianling","family":"Sun","sequence":"additional","affiliation":[{"name":"Zhejiang University & Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China"}]},{"given":"Steven C.H.","family":"Hoi","sequence":"additional","affiliation":[{"name":"Salesforce Research Asia, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2021,7,11]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331202"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313697"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291017"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209986"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3274274"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3439861"},{"key":"e_1_3_2_2_7_1","volume-title":"Approximate residual balancing: De-biased inference of average treatment effects in high dimensions. arXiv preprint arXiv:1604.07125","author":"Athey Susan","year":"2016","unstructured":"Susan Athey, Guido W Imbens, and Stefan Wager. 2016. Approximate residual balancing: De-biased inference of average treatment effects in high dimensions. arXiv preprint arXiv:1604.07125 (2016)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883033"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210004"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646033"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526711"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371819"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390392"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331238"},{"key":"e_1_3_2_2_17_1","volume-title":"Extremely randomized trees. Machine learning","author":"Geurts Pierre","year":"2006","unstructured":"Pierre Geurts, Damien Ernst, and Louis Wehenkel. 2006. Extremely randomized trees. Machine learning , Vol. 63, 1 (2006), 3--42."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526712"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1498759.1498818"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403336"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313447"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401069"},{"key":"e_1_3_2_2_24_1","volume-title":"A Deep Recurrent Survival Model for Unbiased Ranking. arXiv preprint arXiv:2004.14714","author":"Jin Jiarui","year":"2020","unstructured":"Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, and Kun Gai. 2020. A Deep Recurrent Survival Model for Unbiased Ranking. arXiv preprint arXiv:2004.14714 (2020)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150429"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130332.3130334"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1229179.1229181"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018699"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098032"},{"key":"e_1_3_2_2_31_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems . 6449--6459","author":"Louizos Christos","year":"2017","unstructured":"Christos Louizos, Uri Shalit, Joris Mooij, David Sontag, Richard Zemel, and Max Welling. 2017. Causal effect inference with deep latent-variable models. In Proceedings of the 31st International Conference on Neural Information Processing Systems . 6449--6459."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403229"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401102"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401104"},{"key":"e_1_3_2_2_35_1","unstructured":"Judea Pearl. 2009. Causality .Cambridge university press."},{"key":"e_1_3_2_2_36_1","volume-title":"Context-aware learning to rank with self-attention. arXiv preprint arXiv:2005.10084","author":"Pobrotyn Przemys\u0142aw","year":"2020","unstructured":"Przemys\u0142aw Pobrotyn, Tomasz Bartczak, Miko\u0142aj Synowiec, Rados\u0142aw Bia\u0142obrzeski, and Jaros\u0142aw Bojar. 2020. Context-aware learning to rank with self-attention. arXiv preprint arXiv:2005.10084 (2020)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/70.1.41"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/2789272.2886805"},{"key":"e_1_3_2_2_39_1","volume-title":"Proceedings of the 28th annual international ACM SIGIR conference. 154--161","author":"Thorsten Joachims","year":"2005","unstructured":"Joachims Thorsten, Granka Laura, Pan Bing, Hembrooke Helene, and Gay Geri. 2005. Accurately Interpreting Clickthrough Data as Implicit. In Proceedings of the 28th annual international ACM SIGIR conference. 154--161."},{"key":"e_1_3_2_2_40_1","volume-title":"Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation. arXiv preprint arXiv:2007.09798","author":"Tian Mucun","year":"2020","unstructured":"Mucun Tian, Chun Guo, Vito Ostuni, and Zhen Zhu. 2020. Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation. arXiv preprint arXiv:2007.09798 (2020)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401299"},{"key":"e_1_3_2_2_42_1","volume-title":"Using embeddings to correct for unobserved confounding in networks. arXiv preprint arXiv:1902.04114","author":"Veitch Victor","year":"2019","unstructured":"Victor Veitch, Yixin Wang, and David M Blei. 2019. Using embeddings to correct for unobserved confounding in networks. arXiv preprint arXiv:1902.04114 (2019)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911537"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159732"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772793"}],"event":{"name":"SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Virtual Event Canada","acronym":"SIGIR '21","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462901","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3404835.3462901","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:19Z","timestamp":1750191499000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462901"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":45,"alternative-id":["10.1145\/3404835.3462901","10.1145\/3404835"],"URL":"https:\/\/doi.org\/10.1145\/3404835.3462901","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]},"assertion":[{"value":"2021-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}