{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T14:54:45Z","timestamp":1779375285105,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":74,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.62502404"],"award-info":[{"award-number":["No.62502404"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Research Grants Council's Research Impact Fund","award":["No.R1015-23"],"award-info":[{"award-number":["No.R1015-23"]}]},{"name":"Collaborative Research Fund","award":["No.C1043-24GF"],"award-info":[{"award-number":["No.C1043-24GF"]}]},{"name":"General Research Fund","award":["No.11218325"],"award-info":[{"award-number":["No.11218325"]}]},{"name":"Institute of Digital Medicine of City University of Hong Kong","award":["No.9229503"],"award-info":[{"award-number":["No.9229503"]}]},{"name":"Huawei Innovation Research Program"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761137","type":"proceedings-article","created":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T00:29:28Z","timestamp":1762561768000},"page":"1685-1695","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6162-8500","authenticated-orcid":false,"given":"Xiaopeng","family":"Li","sequence":"first","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4470-5972","authenticated-orcid":false,"given":"Jingtong","family":"Gao","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4712-3676","authenticated-orcid":false,"given":"Pengyue","family":"Jia","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2926-4416","authenticated-orcid":false,"given":"Xiangyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7053-8269","authenticated-orcid":false,"given":"Yichao","family":"Wang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5976-0707","authenticated-orcid":false,"given":"Wanyu","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2852-9910","authenticated-orcid":false,"given":"Yejing","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6051-8659","authenticated-orcid":false,"given":"Yuhao","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7393-8994","authenticated-orcid":false,"given":"Huifeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9224-2431","authenticated-orcid":false,"given":"Ruiming","family":"Tang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-018-9654-y"},{"key":"e_1_3_2_1_2_1","volume-title":"Multitask learning. Machine learning","author":"Caruana Rich","year":"1997","unstructured":"Rich Caruana. 1997. Multitask learning. Machine learning, Vol. 28 (1997), 41-75."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599884"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW51313.2020.00027"},{"key":"e_1_3_2_1_5_1","unstructured":"Qiang Cui Tao Wei Yafeng Zhang and Qing Zhang. 2020. HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation. In ORSUM@ RecSys."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00140"},{"key":"e_1_3_2_1_7_1","unstructured":"Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao Lin Wang Qidong Liu Yiqi Wang Han Xu Lei Chen et al. 2022. A comprehensive survey on trustworthy recommender systems. arXiv preprint arXiv:2209.10117 (2022)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3272652"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.02.052"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3698878"},{"key":"e_1_3_2_1_11_1","volume-title":"Training-free LLM Merging for Multi-task Learning. arXiv preprint arXiv:2506.12379","author":"Fu Zichuan","year":"2025","unstructured":"Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, and Xiangyu Zhao. 2025. Training-free LLM Merging for Multi-task Learning. arXiv preprint arXiv:2506.12379 (2025)."},{"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\/3627673.3679615"},{"key":"e_1_3_2_1_14_1","first-page":"211","volume-title":"SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. In Companion Proceedings of the ACM on Web Conference","author":"Gao Jingtong","year":"2025","unstructured":"Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, and Xiangyu Zhao. 2025. SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. In Companion Proceedings of the ACM on Web Conference 2025. 211-220."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591701"},{"key":"e_1_3_2_1_16_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)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615469"},{"key":"e_1_3_2_1_18_1","volume-title":"The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis)","author":"Maxwell Harper F","year":"2015","unstructured":"F Maxwell Harper and Joseph A Konstan. 2015. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis), Vol. 5, 4 (2015), 1-19."},{"key":"e_1_3_2_1_19_1","volume-title":"AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. arXiv preprint arXiv:2412.08516","author":"Jia Pengyue","year":"2024","unstructured":"Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, and Ruiming Tang. 2024a. AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. arXiv preprint arXiv:2412.08516 (2024)."},{"key":"e_1_3_2_1_20_1","first-page":"17","volume-title":"Joint Modeling in Deep Recommender Systems. In Companion Proceedings of the ACM on Web Conference","author":"Jia Pengyue","year":"2025","unstructured":"Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, and Ruiming Tang. 2025. Joint Modeling in Deep Recommender Systems. In Companion Proceedings of the ACM on Web Conference 2025. 17-20."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28699"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28702"},{"key":"e_1_3_2_1_23_1","unstructured":"Maciej Kula. 2017. Spotlight. https:\/\/github.com\/maciejkula\/spotlight."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591944"},{"key":"e_1_3_2_1_25_1","unstructured":"Xiaopeng Li Pengyue Jia Derong Xu Yi Wen Yingyi Zhang Wenlin Zhang Wanyu Wang Yichao Wang Zhaocheng Du Xiangyang Li et al. 2025. A survey of personalization: From rag to agent. arXiv preprint arXiv:2504.10147 (2025)."},{"key":"e_1_3_2_1_26_1","volume-title":"Syneg: Llm-driven synthetic hard-negatives for dense retrieval. arXiv preprint arXiv:2412.17250","author":"Li Xiaopeng","year":"2024","unstructured":"Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Pengyue Jia, Yichao Wang, Xiangyu Zhao, Huifeng Guo, and Ruiming Tang. 2024. Syneg: Llm-driven synthetic hard-negatives for dense retrieval. arXiv preprint arXiv:2412.17250 (2024)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557338"},{"key":"e_1_3_2_1_28_1","volume-title":"Agent4ranking: Semantic robust ranking via personalized query rewriting using multi-agent llm. arXiv preprint arXiv:2312.15450","author":"Li Xiaopeng","year":"2023","unstructured":"Xiaopeng Li, Lixin Su, Pengyue Jia, Xiangyu Zhao, Suqi Cheng, Junfeng Wang, and Dawei Yin. 2023a. Agent4ranking: Semantic robust ranking via personalized query rewriting using multi-agent llm. arXiv preprint arXiv:2312.15450 (2023)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615137"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615087"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635859"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737250"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3706631"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657722"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3729911"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583467"},{"key":"e_1_3_2_1_37_1","volume-title":"TAPO: Task-Referenced Adaptation for Prompt Optimization. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1-5.","author":"Luo Wenxin","year":"2025","unstructured":"Wenxin Luo, Weirui Wang, Xiaopeng Li, Weibo Zhou, Pengyue Jia, and Xiangyu Zhao. 2025. TAPO: Task-Referenced Adaptation for Prompt Optimization. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1-5."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210104"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481948"},{"key":"e_1_3_2_1_41_1","unstructured":"Weichen Shen. 2017. DeepCTR: Easy-to-use Modular and Extendible package of deep-learning based CTR models. https:\/\/github.com\/shenweichen\/deepctr."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481941"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412236"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591736"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730087"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591767"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539221"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635807"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679743"},{"key":"e_1_3_2_1_50_1","volume-title":"GPRec: Bi-level User Modeling for Deep Recommenders. arXiv preprint arXiv:2410.20730","author":"Wang Yejing","year":"2024","unstructured":"Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, and Qidong Liu. 2024c. GPRec: Bi-level User Modeling for Deep Recommenders. arXiv preprint arXiv:2410.20730 (2024)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591750"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737043"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.331"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00099"},{"key":"e_1_3_2_1_55_1","unstructured":"Derong Xu Pengyue Jia Xiaopeng Li Yingyi Zhang Maolin Wang Qidong Liu Xiangyu Zhao Yichao Wang Huifeng Guo Ruiming Tang et al. 2025. Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. arXiv preprint arXiv:2505.16237 (2025)."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730045"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557541"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688134"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3536334"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282907"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679691"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498479"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"},{"key":"e_1_3_2_1_64_1","volume-title":"Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. arXiv preprint arXiv:2505.14069","author":"Zhang Wenlin","year":"2025","unstructured":"Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, et al., 2025. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. arXiv preprint arXiv:2505.14069 (2025)."},{"key":"e_1_3_2_1_65_1","volume-title":"Deep learning for click-through rate estimation. arXiv preprint arXiv:2104.10584","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. arXiv preprint arXiv:2104.10584 (2021)."},{"key":"e_1_3_2_1_66_1","volume-title":"MDMTRec: An Adaptive Multi-Task Multi-Domain Recommendation Framework. In 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR","author":"Zhang Zijian","year":"2024","unstructured":"Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, et al., 2024. MDMTRec: An Adaptive Multi-Task Multi-Domain Recommendation Framework. In 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)."},{"key":"e_1_3_2_1_67_1","first-page":"4722","article-title":"RecBole 2.0: Towards a More Up-to-Date Recommendation Library","author":"Zhao Wayne Xin","year":"2022","unstructured":"Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, and Ji-Rong Wen. 2022. RecBole 2.0: Towards a More Up-to-Date Recommendation Library. In CIKM. ACM, 4722-4726.","journal-title":"CIKM. ACM"},{"key":"e_1_3_2_1_68_1","first-page":"4653","article-title":"RecBole: Towards a Unified","author":"Zhao Wayne Xin","year":"2021","unstructured":"Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, and Ji-Rong Wen. 2021. RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. In CIKM. ACM, 4653-4664.","journal-title":"Comprehensive and Efficient Framework for Recommendation Algorithms. In CIKM. ACM"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00227"},{"key":"e_1_3_2_1_71_1","first-page":"39","article-title":"A graphical and attentional framework for dual-target cross-domain recommendation","volume":"21","author":"Zhu Feng","year":"2020","unstructured":"Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, and Xiaolin Zheng. 2020. A graphical and attentional framework for dual-target cross-domain recommendation. In IJCAI, Vol. 21. 39.","journal-title":"IJCAI"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/639"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482486"},{"key":"e_1_3_2_1_74_1","volume-title":"M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. arXiv preprint arXiv:2404.07581","author":"Zhu Jiachen","year":"2024","unstructured":"Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, and Yong Yu. 2024. M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. arXiv preprint arXiv:2404.07581 (2024)."}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","location":"Seoul Republic of Korea","acronym":"CIKM '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3761137","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T01:50:53Z","timestamp":1765504253000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":74,"alternative-id":["10.1145\/3746252.3761137","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761137","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}