{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:19:41Z","timestamp":1783153181190,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792290","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:34Z","timestamp":1775771674000},"page":"6183-6193","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Generative Regression Based Watch Time Prediction for Short-Video Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8623-0976","authenticated-orcid":false,"given":"Hongxu","family":"Ma","sequence":"first","affiliation":[{"name":"Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9578-8406","authenticated-orcid":false,"given":"Kai","family":"Tian","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6521-1702","authenticated-orcid":false,"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2604-1885","authenticated-orcid":false,"given":"Xuefeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5017-1363","authenticated-orcid":false,"given":"Han","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shanghai University of Finance and Economics, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9986-6071","authenticated-orcid":false,"given":"Chenghou","family":"Jin","sequence":"additional","affiliation":[{"name":"Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9835-3238","authenticated-orcid":false,"given":"Chunjie","family":"Chen","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9801-9292","authenticated-orcid":false,"given":"Han","family":"Li","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2313-7635","authenticated-orcid":false,"given":"Jihong","family":"Guan","sequence":"additional","affiliation":[{"name":"Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1949-2768","authenticated-orcid":false,"given":"Shuigeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"e_1_3_2_1_2_1","volume-title":"Language models are few-shot learners. arXiv preprint arXiv:2005.14165","author":"Brown Tom B","year":"2020","unstructured":"Tom B Brown. 2020. Language models are few-shot learners. arXiv preprint arXiv:2005.14165 (2020)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02110"},{"key":"e_1_3_2_1_4_1","volume-title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864770"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00487"},{"key":"e_1_3_2_1_8_1","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Ding Nan","year":"2017","unstructured":"Nan Ding and Radu Soricut. 2017. Cold-start reinforcement learning with softmax policy gradient. Advances in Neural Information Processing Systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44795-4_13"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557220"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557624"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557065"},{"key":"e_1_3_2_1_14_1","volume-title":"Teaforn: Teacher-forcing with n-grams. arXiv preprint arXiv:2010.03494","author":"Goodman Sebastian","year":"2020","unstructured":"Sebastian Goodman, Nan Ding, and Radu Soricut. 2020. Teaforn: Teacher-forcing with n-grams. arXiv preprint arXiv:2010.03494 (2020)."},{"key":"e_1_3_2_1_15_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. arXiv preprint arXiv:1511.06939","author":"Hidasi B","year":"2015","unstructured":"B Hidasi. 2015. Session-based Recommendations with Recurrent Neural Networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2866770"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612045"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_35"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.366"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_21_1","unstructured":"Zhaolu Kang Junhao Gong Jiaxu Yan Wanke Xia Yian Wang Ziwen Wang Huaxuan Ding Zhuo Cheng Wenhao Cao Zhiyuan Feng et al. 2025. HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models. arXiv preprint arXiv:2506.03922 (2025)."},{"key":"e_1_3_2_1_22_1","volume-title":"Ordinal regression by extended binary classification. Advances in neural information processing systems","author":"Li Ling","year":"2006","unstructured":"Ling Li and Hsuan-Tien Lin. 2006. Ordinal regression by extended binary classification. Advances in neural information processing systems, Vol. 19 (2006)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01368"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599919"},{"key":"e_1_3_2_1_25_1","first-page":"2372","article-title":"Deep ordinal regression based on data relationship for small datasets","author":"Liu Yanzhu","year":"2017","unstructured":"Yanzhu Liu, Adams Wai-Kin Kong, and Chi Keong Goh. 2017. Deep ordinal regression based on data relationship for small datasets.. In IJCAI. 2372-2378.","journal-title":"IJCAI."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746027.3755484"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746027.3755483"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.532"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28752"},{"key":"e_1_3_2_1_31_1","volume-title":"Sequence to Sequence Learning with Neural Networks. arXiv preprint arXiv:1409.3215","author":"Sutskever I","year":"2014","unstructured":"I Sutskever. 2014. Sequence to Sequence Learning with Neural Networks. arXiv preprint arXiv:1409.3215 (2014)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599797"},{"key":"e_1_3_2_1_33_1","volume-title":"Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, and et al., 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_1_34_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9590"},{"key":"e_1_3_2_1_36_1","first-page":"529","volume-title":"Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. In ECAI","author":"Wang Tianxin","year":"2020","unstructured":"Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, and et al., 2020. Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. In ECAI 2020. IOS Press, 529-536."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v12i1.15031"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","unstructured":"Shentao Yang Haichuan Yang Linna Du Adithya Ganesh and et al. 2024. SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. arXiv preprint arXiv:2408.07759 (2024). doi:10.48550\/arXiv.2408.07759","DOI":"10.48550\/arXiv.2408.07759"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645724"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539092"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746027.3755465"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615483"},{"key":"e_1_3_2_1_43_1","volume-title":"Uncovering Strategic Egoism Behaviors in Large Language Models. arXiv preprint arXiv:2511.09920","author":"Zhang Yaoyuan","year":"2025","unstructured":"Yaoyuan Zhang, Aishan Liu, Zonghao Ying, Xianglong Liu, Jiangfan Liu, Yisong Xiao, and Qihang Zhang. 2025b. Uncovering Strategic Egoism Behaviors in Large Language Models. arXiv preprint arXiv:2511.09920 (2025)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671817"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the 17th ACM Conference on Recommender Systems.","author":"Zhao Haiyuan","unstructured":"Haiyuan Zhao, Lei Zhang, Jun Xu, and et al., 2023a. Uncovering user interest from biased and noised watch time in video recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems."},{"key":"e_1_3_2_1_46_1","unstructured":"Wayne Xin Zhao Kun Zhou Junyi Li Tianyi Tang Xiaolei Wang Yupeng Hou Yingqian Min Beichen Zhang Junjie Zhang Zican Dong et al. 2023b. A survey of large language models. arXiv preprint arXiv:2303.18223 (2023)."},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the 30th ACM International Conference on Multimedia.","author":"Zheng Yu","unstructured":"Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, and et al., 2022. Dvr: Micro-video recommendation optimizing watch-time-gain under duration bias. In Proceedings of the 30th ACM International Conference on Multimedia."}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774904.3792290","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:00:50Z","timestamp":1783152050000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792290"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":47,"alternative-id":["10.1145\/3774904.3792290","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792290","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}