{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T00:40:33Z","timestamp":1767832833190,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T00:00:00Z","timestamp":1691107200000},"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":[[2023,8,6]]},"DOI":"10.1145\/3580305.3599764","type":"proceedings-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T18:10:58Z","timestamp":1691172658000},"page":"5028-5038","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["A Multi-stage Framework for Online Bonus Allocation Based on Constrained User Intent Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1904-2337","authenticated-orcid":false,"given":"Chao","family":"Wang","sequence":"first","affiliation":[{"name":"Meituan Group, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6678-8640","authenticated-orcid":false,"given":"Xiaowei","family":"Shi","sequence":"additional","affiliation":[{"name":"Meituan Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6646-3124","authenticated-orcid":false,"given":"Shuai","family":"Xu","sequence":"additional","affiliation":[{"name":"Meituan Group, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6918-5628","authenticated-orcid":false,"given":"Zhe","family":"Wang","sequence":"additional","affiliation":[{"name":"Meituan Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2116-9721","authenticated-orcid":false,"given":"Zhiqiang","family":"Fan","sequence":"additional","affiliation":[{"name":"Meituan Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0642-0008","authenticated-orcid":false,"given":"Yan","family":"Feng","sequence":"additional","affiliation":[{"name":"Meituan Group, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9931-5960","authenticated-orcid":false,"given":"An","family":"You","sequence":"additional","affiliation":[{"name":"Meituan Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3780-278X","authenticated-orcid":false,"given":"Yu","family":"Chen","sequence":"additional","affiliation":[{"name":"Meituan Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,4]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512103"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557100"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2013.10.012"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Susan Athey Julie Tibshirani and Stefan Wager. 2019. Generalized random forests. (2019).  Susan Athey Julie Tibshirani and Stefan Wager. 2019. Generalized random forests. (2019).","DOI":"10.1214\/18-AOS1709"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/37.248006"},{"key":"e_1_3_2_2_6_1","volume-title":"1993 b. A history of control engineering","author":"Bennett Stuart","year":"1930","unstructured":"Stuart Bennett . 1993 b. A history of control engineering , 1930 --1955. Number 47. IET. Stuart Bennett. 1993 b. A history of control engineering, 1930--1955. Number 47. IET."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_2_8_1","volume-title":"Kasim Selcuk Candan, and Huan Liu","author":"Cheng Lu","year":"2022","unstructured":"Lu Cheng , Ruocheng Guo , Raha Moraffah , Paras Sheth , Kasim Selcuk Candan, and Huan Liu . 2022 . Evaluation methods and measures for causal learning algorithms. IEEE Transactions on Artificial Intelligence ( 2022). Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, Kasim Selcuk Candan, and Huan Liu. 2022. Evaluation methods and measures for causal learning algorithms. IEEE Transactions on Artificial Intelligence (2022)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412215"},{"key":"e_1_3_2_2_10_1","volume-title":"International conference on machine learning. PMLR, 3020--3029","author":"Johansson Fredrik","year":"2016","unstructured":"Fredrik Johansson , Uri Shalit , and David Sontag . 2016 . Learning representations for counterfactual inference . In International conference on machine learning. PMLR, 3020--3029 . Fredrik Johansson, Uri Shalit, and David Sontag. 2016. Learning representations for counterfactual inference. In International conference on machine learning. PMLR, 3020--3029."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Daniel Kahneman and Amos Tversky. 2013. Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I. World Scientific 99--127.  Daniel Kahneman and Amos Tversky. 2013. Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I. World Scientific 99--127.","DOI":"10.1142\/9789814417358_0006"},{"key":"e_1_3_2_2_12_1","volume-title":"Applications of feedback control in online advertising. In 2013 American control conference","author":"Karlsson Niklas","unstructured":"Niklas Karlsson and Jianlong Zhang . 2013. Applications of feedback control in online advertising. In 2013 American control conference . IEEE , 6008--6013. Niklas Karlsson and Jianlong Zhang. 2013. Applications of feedback control in online advertising. In 2013 American control conference. IEEE, 6008--6013."},{"key":"e_1_3_2_2_13_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_2_14_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1804597116"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412745"},{"key":"e_1_3_2_2_16_1","volume-title":"Adapting neural networks for uplift models. arXiv preprint arXiv:2011.00041","author":"Mouloud Belbahri","year":"2020","unstructured":"Belbahri Mouloud , Gandouet Olivier , and Kazma Ghaith . 2020. Adapting neural networks for uplift models. arXiv preprint arXiv:2011.00041 ( 2020 ). Belbahri Mouloud, Gandouet Olivier, and Kazma Ghaith. 2020. Adapting neural networks for uplift models. arXiv preprint arXiv:2011.00041 (2020)."},{"key":"e_1_3_2_2_17_1","volume-title":"Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance. arXiv preprint arXiv:2201.12692","author":"Okasa Gabriel","year":"2022","unstructured":"Gabriel Okasa . 2022. Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance. arXiv preprint arXiv:2201.12692 ( 2022 ). Gabriel Okasa. 2022. Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance. arXiv preprint arXiv:2201.12692 (2022)."},{"key":"e_1_3_2_2_18_1","volume-title":"Pricing and Revenue Optimization","author":"Phillips Robert L","unstructured":"Robert L Phillips . 2021. Pricing and revenue optimization . In Pricing and Revenue Optimization . Stanford university press . Robert L Phillips. 2021. Pricing and revenue optimization. In Pricing and Revenue Optimization. Stanford university press."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2013.6721405"},{"key":"e_1_3_2_2_20_1","volume-title":"Perfect match: A simple method for learning representations for counterfactual inference with neural networks. arXiv preprint arXiv:1810.00656","author":"Schwab Patrick","year":"2018","unstructured":"Patrick Schwab , Lorenz Linhardt , and Walter Karlen . 2018. Perfect match: A simple method for learning representations for counterfactual inference with neural networks. arXiv preprint arXiv:1810.00656 ( 2018 ). Patrick Schwab, Lorenz Linhardt, and Walter Karlen. 2018. Perfect match: A simple method for learning representations for counterfactual inference with neural networks. arXiv preprint arXiv:1810.00656 (2018)."},{"key":"e_1_3_2_2_21_1","volume-title":"International Conference on Machine Learning. PMLR, 3076--3085","author":"Shalit Uri","year":"2017","unstructured":"Uri Shalit , Fredrik D Johansson , and David Sontag . 2017 . Estimating individual treatment effect: generalization bounds and algorithms . In International Conference on Machine Learning. PMLR, 3076--3085 . Uri Shalit, Fredrik D Johansson, and David Sontag. 2017. Estimating individual treatment effect: generalization bounds and algorithms. In International Conference on Machine Learning. PMLR, 3076--3085."},{"key":"e_1_3_2_2_22_1","volume-title":"A framework for massive scale personalized promotion. arXiv preprint arXiv:2108.12100","author":"Shen Yitao","year":"2021","unstructured":"Yitao Shen , Yue Wang , Xingyu Lu , Feng Qi , Jia Yan , Yixiang Mu , Yao Yang , YiFan Peng , and Jinjie Gu. 2021. A framework for massive scale personalized promotion. arXiv preprint arXiv:2108.12100 ( 2021 ). Yitao Shen, Yue Wang, Xingyu Lu, Feng Qi, Jia Yan, Yixiang Mu, Yao Yang, YiFan Peng, and Jinjie Gu. 2021. A framework for massive scale personalized promotion. arXiv preprint arXiv:2108.12100 (2021)."},{"key":"e_1_3_2_2_23_1","volume-title":"Garrett Van Ryzin, and Garrett Van Ryzin","author":"Talluri Kalyan T","year":"2004","unstructured":"Kalyan T Talluri , Garrett Van Ryzin, and Garrett Van Ryzin . 2004 . The theory and practice of revenue management. Vol. 1 . Springer . Kalyan T Talluri, Garrett Van Ryzin, and Garrett Van Ryzin. 2004. The theory and practice of revenue management. Vol. 1. Springer."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1057\/s41272-018-00164-4"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1319839"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-015-0892-3"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539202"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330681"},{"key":"e_1_3_2_2_29_1","volume-title":"A survey on causal inference. ACM Transactions on Knowledge Discovery from Data (TKDD)","author":"Yao Liuyi","year":"2021","unstructured":"Liuyi Yao , Zhixuan Chu , Sheng Li , Yaliang Li , Jing Gao , and Aidong Zhang . 2021. A survey on causal inference. ACM Transactions on Knowledge Discovery from Data (TKDD) , Vol. 15 , 5 ( 2021 ), 1--46. Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, and Aidong Zhang. 2021. A survey on causal inference. ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15, 5 (2021), 1--46."},{"key":"e_1_3_2_2_30_1","volume-title":"Advances in Neural Information Processing Systems","volume":"31","author":"Yao Liuyi","year":"2018","unstructured":"Liuyi Yao , Sheng Li , Yaliang Li , Mengdi Huai , Jing Gao , and Aidong Zhang . 2018 . Representation learning for treatment effect estimation from observational data . Advances in Neural Information Processing Systems , Vol. 31 (2018). Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang. 2018. Representation learning for treatment effect estimation from observational data. Advances in Neural Information Processing Systems, Vol. 31 (2018)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835843"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380084"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330700"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.66"}],"event":{"name":"KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Long Beach CA USA","acronym":"KDD '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599764","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3580305.3599764","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:22Z","timestamp":1750182562000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3580305.3599764"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,4]]},"references-count":34,"alternative-id":["10.1145\/3580305.3599764","10.1145\/3580305"],"URL":"https:\/\/doi.org\/10.1145\/3580305.3599764","relation":{},"subject":[],"published":{"date-parts":[[2023,8,4]]},"assertion":[{"value":"2023-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}