{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:47:40Z","timestamp":1783738060275,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3614760","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:26Z","timestamp":1697874326000},"page":"3554-3563","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8357-7704","authenticated-orcid":false,"given":"Yuqing","family":"Zhou","sequence":"first","affiliation":[{"name":"George Mason University, Fairfax, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8798-0341","authenticated-orcid":false,"given":"Tianshu","family":"Feng","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5181-3429","authenticated-orcid":false,"given":"Mingrui","family":"Liu","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3990-4774","authenticated-orcid":false,"given":"Ziwei","family":"Zhu","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209986"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1541-0420.2005.00377.x"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401425"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Elias Bareinboim Jin Tian and Judea Pearl. 2022. Recovering from selection bias in causal and statistical inference. In Probabilistic and Causal Inference: The Works of Judea Pearl. 433--450.  Elias Bareinboim Jin Tian and Judea Pearl. 2022. Recovering from selection bias in causal and statistical inference. In Probabilistic and Causal Inference: The Works of Judea Pearl. 433--450.","DOI":"10.1145\/3501714.3501740"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539270"},{"key":"e_1_3_2_1_7_1","volume-title":"Doubly robust policy evaluation and learning. arXiv preprint arXiv:1103.4601","author":"Dud'ik Miroslav","year":"2011","unstructured":"Miroslav Dud'ik , John Langford , and Lihong Li. 2011. Doubly robust policy evaluation and learning. arXiv preprint arXiv:1103.4601 ( 2011 ). Miroslav Dud'ik, John Langford, and Lihong Li. 2011. Doubly robust policy evaluation and learning. arXiv preprint arXiv:1103.4601 (2011)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24583-1_2"},{"key":"e_1_3_2_1_9_1","volume-title":"Click through rate prediction for contextual advertisment using linear regression. arXiv preprint arXiv:1701.08744","author":"Effendi Muhammad Junaid","year":"2017","unstructured":"Muhammad Junaid Effendi and Syed Abbas Ali . 2017. Click through rate prediction for contextual advertisment using linear regression. arXiv preprint arXiv:1701.08744 ( 2017 ). Muhammad Junaid Effendi and Syed Abbas Ali. 2017. Click through rate prediction for contextual advertisment using linear regression. arXiv preprint arXiv:1701.08744 (2017)."},{"key":"e_1_3_2_1_10_1","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017).  Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462917"},{"key":"e_1_3_2_1_12_1","article-title":"The MovieLens Datasets","volume":"5","author":"Maxwell Harper F.","year":"2016","unstructured":"F. Maxwell Harper and Joseph A. Konstan . 2016 . The MovieLens Datasets : History and Context. ACM Trans. Interact. Intell. Syst. , Vol. 5 (2016), 19:1--19:19. F. Maxwell Harper and Joseph A. Konstan. 2016. The MovieLens Datasets: History and Context. ACM Trans. Interact. Intell. Syst., Vol. 5 (2016), 19:1--19:19.","journal-title":"History and Context. ACM Trans. Interact. Intell. Syst."},{"key":"e_1_3_2_1_13_1","volume-title":"International conference on machine learning. PMLR, 1512--1520","author":"Hern\u00e1ndez-Lobato Jos\u00e9 Miguel","year":"2014","unstructured":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato , Neil Houlsby , and Zoubin Ghahramani . 2014 . Probabilistic matrix factorization with non-random missing data . In International conference on machine learning. PMLR, 1512--1520 . Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Neil Houlsby, and Zoubin Ghahramani. 2014. Probabilistic matrix factorization with non-random missing data. In International conference on machine learning. PMLR, 1512--1520."},{"key":"e_1_3_2_1_14_1","volume-title":"Correcting sample selection bias by unlabeled data. Advances in neural information processing systems","author":"Huang Jiayuan","year":"2006","unstructured":"Jiayuan Huang , Arthur Gretton , Karsten Borgwardt , Bernhard Sch\u00f6lkopf , and Alex Smola . 2006. Correcting sample selection bias by unlabeled data. Advances in neural information processing systems , Vol. 19 ( 2006 ). Jiayuan Huang, Arthur Gretton, Karsten Borgwardt, Bernhard Sch\u00f6lkopf, and Alex Smola. 2006. Correcting sample selection bias by unlabeled data. Advances in neural information processing systems, Vol. 19 (2006)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959134"},{"key":"e_1_3_2_1_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. 768--776","author":"Orten Burkay","year":"2012","unstructured":"Kuang-chih Lee, Burkay Orten , Ali Dasdan , and Wentong Li . 2012 . Estimating conversion rate in display advertising from past erformance data . In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. 768--776 . Kuang-chih Lee, Burkay Orten, Ali Dasdan, and Wentong Li. 2012. Estimating conversion rate in display advertising from past erformance data. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. 768--776."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.14778\/3115404.3115407"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124750"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210104"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639717"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242643"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124333"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412262"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975673.53"},{"key":"e_1_3_2_1_28_1","volume-title":"international conference on machine learning. PMLR, 1670--1679","author":"Schnabel Tobias","year":"2016","unstructured":"Tobias Schnabel , Adith Swaminathan , Ashudeep Singh , Navin Chandak , and Thorsten Joachims . 2016 . Recommendations as treatments: Debiasing learning and evaluation . In international conference on machine learning. PMLR, 1670--1679 . Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, and Thorsten Joachims. 2016. Recommendations as treatments: Debiasing learning and evaluation. In international conference on machine learning. PMLR, 1670--1679."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835895"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_1_31_1","volume-title":"International Conference on Machine Learning. PMLR, 6638--6647","author":"Wang Xiaojie","year":"2019","unstructured":"Xiaojie Wang , Rui Zhang , Yu Sun , and Jianzhong Qi . 2019 b. Doubly robust joint learning for recommendation on data missing not at random . In International Conference on Machine Learning. PMLR, 6638--6647 . Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. 2019b. Doubly robust joint learning for recommendation on data missing not at random. In International Conference on Machine Learning. PMLR, 6638--6647."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357936"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401443"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209993"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240355"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401154"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380037"}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","location":"Birmingham United Kingdom","acronym":"CIKM '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614760","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3614760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:31Z","timestamp":1750178791000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614760"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":37,"alternative-id":["10.1145\/3583780.3614760","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3614760","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}