{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T21:26:19Z","timestamp":1771104379760,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T00:00:00Z","timestamp":1682812800000},"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":[[2023,4,30]]},"DOI":"10.1145\/3543873.3584625","type":"proceedings-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T11:36:14Z","timestamp":1682681774000},"page":"346-350","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0818-2040","authenticated-orcid":false,"given":"Lixin","family":"Liu","sequence":"first","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0818-4436","authenticated-orcid":false,"given":"Yanling","family":"Wang","sequence":"additional","affiliation":[{"name":"Renmin University of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7483-2852","authenticated-orcid":false,"given":"Tianming","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0937-2551","authenticated-orcid":false,"given":"Dong","family":"Guan","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1909-2510","authenticated-orcid":false,"given":"Jiawei","family":"Wu","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6791-3571","authenticated-orcid":false,"given":"Jingxu","family":"Chen","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7793-6040","authenticated-orcid":false,"given":"Rong","family":"Xiao","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8284-5079","authenticated-orcid":false,"given":"Wenxiang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2410-001X","authenticated-orcid":false,"given":"Fei","family":"Fang","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"User-specific Adaptive Fine-tuning for Cross-domain Recommendations","author":"Chen Lei","year":"2023","unstructured":"Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, and Min Yang. 2023. User-specific Adaptive Fine-tuning for Cross-domain Recommendations. IEEE Transactions on Knowledge and Data Engineering (2023)."},{"key":"e_1_3_2_1_2_1","volume-title":"Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. In 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data (DLP-KDD).","author":"Chen Qiwei","year":"2022","unstructured":"Qiwei Chen, Yue Xu, Changhua Pei, Shanshan Lv, Tao Zhuang, and Junfeng Ge. 2022. Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. In 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data (DLP-KDD)."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning (ICML).","author":"Dauphin N.","unstructured":"Y.\u00a0N. Dauphin, A. Fan, M. Auli, and D. Grangier. 2016. Language Modeling with Gated Convolutional Networks. In Proceedings of the 34th International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_1_4_1","volume-title":"International Workshop on Deep Learning Practice for High-Dimensional Sparse Data (DLP-KDD).","author":"Chen","unstructured":"Chen et al.2020. Behavior sequence transformer for e-commerce recommendation in alibaba. In International Workshop on Deep Learning Practice for High-Dimensional Sparse Data (DLP-KDD)."},{"key":"e_1_3_2_1_5_1","volume-title":"Wide & Deep Learning for Recommender Systems. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems (DLRS). arXiv:1606","author":"Tze\u00a0Cheng","unstructured":"Heng-Tze\u00a0Cheng et al.2016. Wide & Deep Learning for Recommender Systems. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems (DLRS). arXiv:1606.07792"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the National Academy of Sciences (PNAS)","author":"J.","year":"2017","unstructured":"J.\u00a0Kirkpatrick et al.2017. Overcoming catastrophic forgetting in neural networks. Proceedings of the National Academy of Sciences (PNAS) (2017)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00258"},{"key":"e_1_3_2_1_8_1","volume-title":"AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. In ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD).","author":"Guo H.","unstructured":"H. Guo, B. Chen, R. Tang, Z. Li, and X. He. 2021. AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. In ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271684"},{"key":"e_1_3_2_1_11_1","volume-title":"Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. arXiv preprint arXiv:2110.08534","author":"Jin Xisen","year":"2021","unstructured":"Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, and Xiang Ren. 2021. Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. arXiv preprint arXiv:2110.08534 (2021)."},{"key":"e_1_3_2_1_12_1","volume-title":"A continual learning survey: Defying forgetting in classification tasks","author":"Lange M.","year":"2021","unstructured":"M. Lange, R. Aljundi, M. Masana, S. Parisot, X. Jia, and A.\u00a0et\u00a0al. Leonardis. 2021. A continual learning survey: Defying forgetting in classification tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467140"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371793"},{"key":"e_1_3_2_1_15_1","unstructured":"Hong Liu Mingsheng Long Jianmin Wang and Yu Wang. 2020. Learning to Adapt to Evolving Domains.. In Advances in Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412728"},{"key":"e_1_3_2_1_18_1","volume-title":"Proceedings of the ACM International Conference on Information & Knowledge Management (CIKM).","author":"Qi Pi","year":"2020","unstructured":"Pi Qi, Xiaoqiang Zhu, Guorui Zhou, Yujing Zhang, and Kun Gai. 2020. Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. In Proceedings of the ACM International Conference on Information & Knowledge Management (CIKM)."},{"key":"e_1_3_2_1_19_1","unstructured":"Andrei\u00a0A. Rusu Neil\u00a0C. Rabinowitz Guillaume Desjardins Hubert Soyer James Kirkpatrick Koray Kavukcuoglu Razvan Pascanu and Raia Hadsell. 2016. Progressive Neural Networks. (2016). arXiv:1606.04671"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6428"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412236"},{"key":"e_1_3_2_1_22_1","unstructured":"A. Taufique S. Jahan and A. Savakis. 2021. ConDA: Continual Unsupervised Domain Adaptation. arXiv preprint arXiv:2103.11056 (2021)."},{"key":"e_1_3_2_1_23_1","volume-title":"International Conference on Machine Learning (ICML).","author":"Wang Hao","year":"2020","unstructured":"Hao Wang, Hao He, and Dina Katabi. 2020. Continuously indexed domain adaptation. In International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_1_24_1","volume-title":"CoRR abs\/1708.05123","author":"Wang Ruoxi","year":"2017","unstructured":"Ruoxi Wang, Bin Fu, Gang Fu, and Mingliang Wang. 2017. Deep & Cross Network for Ad Click Predictions. CoRR abs\/1708.05123 (2017). arXiv:1708.05123"},{"key":"e_1_3_2_1_25_1","unstructured":"Jun Wu and Jingrui He. 2021. Continuous Transfer Learning. https:\/\/openreview.net\/forum?id=dJbf5SqbFrM"},{"key":"e_1_3_2_1_26_1","unstructured":"Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman and Chelsea Finn. 2020. Gradient Surgery for Multi-Task Learning. In Advances in Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_27_1","volume-title":"Deep Learning for Click-Through Rate Estimation. In International Joint Conference on Artificial Intelligence (IJCAI).","author":"Zhang Weinan","year":"2021","unstructured":"Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, and Xiuqiang He. 2021. Deep Learning for Click-Through Rate Estimation. In International Joint Conference on Artificial Intelligence (IJCAI)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2208.10174"},{"key":"e_1_3_2_1_29_1","volume-title":"Deep Interest Evolution Network for Click-Through Rate Prediction. In AAAI Conference on Artificial Intelligence (AAAI).","author":"Zhou Guorui","year":"2018","unstructured":"Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, and Kun Gai. 2018. Deep Interest Evolution Network for Click-Through Rate Prediction. In AAAI Conference on Artificial Intelligence (AAAI)."},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).","author":"Zhou Guorui","year":"2017","unstructured":"Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, and Kun Gai. 2017. Deep Interest Network for Click-Through Rate Prediction. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098134"}],"event":{"name":"WWW '23: The ACM Web Conference 2023","location":"Austin TX USA","acronym":"WWW '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Companion Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543873.3584625","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543873.3584625","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T23:33:07Z","timestamp":1755819187000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543873.3584625"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":31,"alternative-id":["10.1145\/3543873.3584625","10.1145\/3543873"],"URL":"https:\/\/doi.org\/10.1145\/3543873.3584625","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}