{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:01:49Z","timestamp":1775815309846,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T00:00:00Z","timestamp":1746662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,8]]},"DOI":"10.1145\/3701716.3715589","type":"proceedings-article","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T16:20:01Z","timestamp":1748017201000},"page":"1475-1479","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2868-8965","authenticated-orcid":false,"given":"Mingdai","family":"Yang","sequence":"first","affiliation":[{"name":"University of Illinois at Chicago, Chicago, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0940-4218","authenticated-orcid":false,"given":"Fan","family":"Yang","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9908-3795","authenticated-orcid":false,"given":"Yanhui","family":"Guo","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0419-1262","authenticated-orcid":false,"given":"Shaoyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8772-5624","authenticated-orcid":false,"given":"Tianchen","family":"Zhou","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5419-9043","authenticated-orcid":false,"given":"Yetian","family":"Chen","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8481-8229","authenticated-orcid":false,"given":"Simone","family":"Shao","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8844-3233","authenticated-orcid":false,"given":"Jia","family":"Liu","sequence":"additional","affiliation":[{"name":"Amazon &amp; The Ohio State University, Columbus, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8012-1392","authenticated-orcid":false,"given":"Yan","family":"Gao","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Learning to Learn, Sebastian Thrun and Lorien Y","author":"Caruana Rich","unstructured":"Rich Caruana. 1998. Multitask Learning. In Learning to Learn, Sebastian Thrun and Lorien Y. Pratt (Eds.). Springer, 95--133."},{"key":"e_1_3_2_1_2_1","volume-title":"Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. In Findings of the Association for Computational Linguistics: NAACL","author":"Guo Yanhui","year":"2024","unstructured":"Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, and Bryan Wang. 2024. Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. In Findings of the Association for Computational Linguistics: NAACL 2024. ACL, Mexico City, Mexico, 2595--2622."},{"key":"e_1_3_2_1_3_1","volume-title":"Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation. In Companion Proceedings of the ACM on Web Conference 2024, WWW 2024","author":"Jiao Yang","year":"2024","unstructured":"Yang Jiao, Fan Yang, Yetian Chen, Yan Gao, Jia Liu, and Yi Sun. 2024. Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation. In Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13--17, 2024. 641--645."},{"key":"e_1_3_2_1_4_1","volume-title":"Self-Attentive Sequential Recommendation. In IEEE International Conference on Data Mining, ICDM 2018","author":"Kang Wang-Cheng","year":"2018","unstructured":"Wang-Cheng Kang and Julian J. McAuley. 2018. Self-Attentive Sequential Recommendation. In IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17--20, 2018. IEEE Computer Society, 197--206."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599516"},{"key":"e_1_3_2_1_6_1","volume-title":"Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings.","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709267"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219828"},{"key":"e_1_3_2_1_10_1","volume-title":"Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018","author":"Sener Ozan","year":"2018","unstructured":"Ozan Sener and Vladlen Koltun. 2018. Multi-Task Learning as Multi-Objective Optimization. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3--8, 2018, Montr\u00e9al, Canada. 525--536."},{"key":"e_1_3_2_1_11_1","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4--9, 2017, Long Beach, CA, USA. 5998--6008."},{"key":"e_1_3_2_1_12_1","volume-title":"Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems","author":"Wang Liyuan","year":"2023","unstructured":"Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, and Jun Zhu. 2023. Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems","author":"Wang Wenhui","year":"2020","unstructured":"Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, and Ming Zhou. 2020. MINILM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. In Proceedings of the 34th International Conference on Neural Information Processing Systems (Vancouver, BC, Canada) (NIPS'20). Curran Associates Inc., Red Hook, NY, USA, Article 485, 13 pages."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14--18","author":"Yang Mingdai","year":"2024","unstructured":"Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, and Philip S. Yu. 2024a. Instruction-based Hypergraph Pretraining. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14--18, 2024. ACM, 501--511."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining. ACM, 891--900","author":"Yang Mingdai","unstructured":"Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, and Philip S. Yu. 2024b. Unified Pretraining for Recommendation via Task Hypergraphs. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining. ACM, 891--900."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539342"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645423"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462884"},{"key":"e_1_3_2_1_19_1","volume-title":"Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022","author":"Yuan Guanghu","year":"2022","unstructured":"Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, and Xiaohu Qie. 2022. Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Tingting Zhang Pengpeng Zhao Yanchi Liu Victor S Sheng Jiajie Xu Deqing Wang Guanfeng Liu Xiaofang Zhou et al. 2019. Feature-level Deeper Self-Attention Network for Sequential Recommendation. In IJCAI. 4320--4326.","DOI":"10.24963\/ijcai.2019\/600"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/3692070.3694632"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715589","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3715589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T03:05:36Z","timestamp":1759892736000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715589"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":21,"alternative-id":["10.1145\/3701716.3715589","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3715589","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}