{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T14:53:51Z","timestamp":1784904831407,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679730","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T19:34:11Z","timestamp":1729452851000},"page":"1575-1585","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":35,"title":["Multi-Behavior Generative Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5255-9614","authenticated-orcid":false,"given":"Zihan","family":"Liu","sequence":"first","affiliation":[{"name":"University of California, San Diego, San Diego, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0747-8010","authenticated-orcid":false,"given":"Yupeng","family":"Hou","sequence":"additional","affiliation":[{"name":"University of California, San Diego, San Diego, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0955-7588","authenticated-orcid":false,"given":"Julian","family":"McAuley","sequence":"additional","affiliation":[{"name":"University of California, San Diego, San Diego, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential recommendation with graph neural networks. In SIGIR.","DOI":"10.1145\/3404835.3462968"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Chong Chen Weizhi Ma Min Zhang Zhaowei Wang Xiuqiang He Chenyang Wang Yiqun Liu and Shaoping Ma. 2021. Graph heterogeneous multi-relational recommendation. In AAAI.","DOI":"10.1609\/aaai.v35i5.16515"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Chong Chen Min Zhang Yongfeng Zhang Weizhi Ma Yiqun Liu and Shaoping Ma. 2020. Efficient heterogeneous collaborative filtering without negative sampling for recommendation. In AAAI.","DOI":"10.1609\/aaai.v34i01.5329"},{"key":"e_1_3_2_1_4_1","unstructured":"Hong Chen Yudong Chen Xin Wang Ruobing Xie Rui Wang Feng Xia and Wenwu Zhu. 2021. Curriculum disentangled recommendation with noisy multi-feedback. In NeurIPS."},{"key":"e_1_3_2_1_5_1","unstructured":"Zewen Chi Li Dong Shaohan Huang Damai Dai Shuming Ma Barun Patra Saksham Singhal Payal Bajaj Xia Song Xian-Ling Mao et al. 2022. On the representation collapse of sparse mixture of experts. In NeurIPS."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys. 191--198.","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_7_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL. 4171--4186.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL. 4171--4186."},{"key":"e_1_3_2_1_8_1","volume-title":"et al","author":"Dosovitskiy Alexey","year":"2020","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al . 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_1_9_1","volume-title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity. Journal of Machine Learning Research","author":"Fedus William","year":"2022","unstructured":"William Fedus, Barret Zoph, and Noam Shazeer. 2022. Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity. Journal of Machine Learning Research (2022)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Chen Gao Xiangnan He Dahua Gan Xiangning Chen Fuli Feng Yong Li Tat-Seng Chua and Depeng Jin. 2019. Neural multi-task recommendation from multi-behavior data. In ICDE.","DOI":"10.1109\/ICDE.2019.00140"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Shijie Geng Shuchang Liu Zuohui Fu Yingqiang Ge and Yongfeng Zhang. 2022. Recommendation as language processing (rlp): A unified pretrain personalized prompt & predict paradigm (p5). In RecSys. 299--315.","DOI":"10.1145\/3523227.3546767"},{"key":"e_1_3_2_1_12_1","unstructured":"Yulong Gu Zhuoye Ding Shuaiqiang Wang Lixin Zou Yiding Liu and Dawei Yin. 2020. Deep multifaceted transformers for multi-objective ranking in large-scale e-commerce recommender systems. In CIKM."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Long Guo Lifeng Hua Rongfei Jia Binqiang Zhao Xiaobo Wang and Bin Cui. 2019. Buying or browsing?: Predicting real-time purchasing intent using attention-based deep network with multiple behavior. In SIGKDD.","DOI":"10.1145\/3292500.3330670"},{"key":"e_1_3_2_1_14_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. In ICLR."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Yupeng Hou Zhankui He Julian McAuley and Wayne Xin Zhao. 2023. Learning vector-quantized item representation for transferable sequential recommenders. In WWW. 1162--1171.","DOI":"10.1145\/3543507.3583434"},{"key":"e_1_3_2_1_16_1","volume-title":"CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. In SIGIR.","author":"Hou Yupeng","year":"2022","unstructured":"Yupeng Hou, Binbin Hu, Zhiqiang Zhang, and Wayne Xin Zhao. 2022. CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. In SIGIR."},{"key":"e_1_3_2_1_17_1","volume-title":"Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al .","author":"Jiang Albert Q","year":"2024","unstructured":"Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al . 2024. Mixtral of experts. arXiv preprint arXiv:2401.04088 (2024)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Bowen Jin Chen Gao Xiangnan He Depeng Jin and Yong Li. 2020. Multi-behavior recommendation with graph convolutional networks. In SIGIR.","DOI":"10.1145\/3397271.3401072"},{"key":"e_1_3_2_1_19_1","volume-title":"et al","author":"Jin Bowen","year":"2024","unstructured":"Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, et al . 2024. Language Models As Semantic Indexers. In ICML."},{"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","volume-title":"Scaling laws for neural language models. arXiv preprint arXiv:2001.08361","author":"Kaplan Jared","year":"2020","unstructured":"Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020. Scaling laws for neural language models. arXiv preprint arXiv:2001.08361 (2020)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Walid Krichene and Steffen Rendle. 2020. On sampled metrics for item recommendation. In SIGKDD. 1748--1757.","DOI":"10.1145\/3394486.3403226"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Artus Krohn-Grimberghe Lucas Drumond Christoph Freudenthaler and Lars Schmidt-Thieme. 2012. Multi-relational matrix factorization using bayesian personalized ranking for social network data. In WSDM.","DOI":"10.1145\/2124295.2124317"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Lei Li Yongfeng Zhang and Li Chen. 2023. Prompt distillation for efficient llm-based recommendation. In CIKM. 1348--1357.","DOI":"10.1145\/3583780.3615017"},{"key":"e_1_3_2_1_25_1","volume-title":"MMGRec: Multimodal Generative Recommendation with Transformer Model. arXiv preprint arXiv:2404.16555","author":"Liu Han","year":"2024","unstructured":"Han Liu, Yinwei Wei, Xuemeng Song, Weili Guan, Yuan-Fang Li, and Liqiang Nie. 2024. MMGRec: Multimodal Generative Recommendation with Transformer Model. arXiv preprint arXiv:2404.16555 (2024)."},{"key":"e_1_3_2_1_26_1","volume-title":"Noah Constant, Ji Ma, Keith Hall, Daniel Cer, and Yinfei Yang.","author":"Ni Jianmo","year":"2022","unstructured":"Jianmo Ni, Gustavo Hernandez Abrego, Noah Constant, Ji Ma, Keith Hall, Daniel Cer, and Yinfei Yang. 2022. Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. In Findings of ACL. 1864--1874."},{"key":"e_1_3_2_1_27_1","volume-title":"Generative sequential recommendation with gptrec. arXiv preprint arXiv:2306.11114","author":"Petrov Aleksandr V","year":"2023","unstructured":"Aleksandr V Petrov and Craig Macdonald. 2023. Generative sequential recommendation with gptrec. arXiv preprint arXiv:2306.11114 (2023)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Aleksandr V Petrov and Craig Macdonald. 2024. RecJPQ: training large-catalogue sequential recommenders. In WSDM.","DOI":"10.1145\/3616855.3635821"},{"key":"e_1_3_2_1_29_1","volume-title":"Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Tran, Jonah Samost, et al.","author":"Rajput Shashank","year":"2024","unstructured":"Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Tran, Jonah Samost, et al. 2024. Recommender systems with generative retrieval. In NeurIPS."},{"key":"e_1_3_2_1_30_1","volume-title":"Aaron Van den Oord, and Oriol Vinyals","author":"Razavi Ali","year":"2019","unstructured":"Ali Razavi, Aaron Van den Oord, and Oriol Vinyals. 2019. Generating diverse high-fidelity images with vq-vae-2. In NeurIPS."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW.","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_32_1","volume":"200","author":"Singh Ajit P","unstructured":"Ajit P Singh and Geoffrey J Gordon. 2008. Relational learning via collective matrix factorization. In KDD. 650--658.","journal-title":"Geoffrey J Gordon."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611723"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In CIKM.","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM.","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_37_1","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale et al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_3_2_1_38_1","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 NIPS."},{"key":"e_1_3_2_1_39_1","volume-title":"LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations. arXiv preprint arXiv:2402.09617","author":"Wang Xinyuan","year":"2024","unstructured":"Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, and Yanjie Fu. 2024. LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations. arXiv preprint arXiv:2402.09617 (2024)."},{"key":"e_1_3_2_1_40_1","volume-title":"et al","author":"Wang Yidan","year":"2024","unstructured":"Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, et al . 2024. Enhanced Generative Recommendation via Content and Collaboration Integration. arXiv preprint arXiv:2403.18480 (2024)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Kilian Weinberger Anirban Dasgupta John Langford Alex Smola and Josh Attenberg. 2009. Feature hashing for large scale multitask learning. In ICML. 1113--1120.","DOI":"10.1145\/1553374.1553516"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie and Tieniu Tan. 2019. Session-based recommendation with graph neural networks. In AAAI.","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_43_1","unstructured":"Lianghao Xia Chao Huang Yong Xu Peng Dai Bo Zhang and Liefeng Bo. 2020. Multiplex behavioral relation learning for recommendation via memory augmented transformer network. In SIGIR."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Lianghao Xia Yong Xu Chao Huang Peng Dai and Liefeng Bo. 2021. Graph meta network for multi-behavior recommendation. In SIGIR. 757--766.","DOI":"10.1145\/3404835.3462972"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Chen Yang Yupeng Hou Yang Song Tao Zhang Ji-Rong Wen and Wayne Xin Zhao. 2022. Modeling Two-Way Selection Preference for Person-Job Fit. In RecSys.","DOI":"10.1145\/3523227.3546752"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"Yuhao Yang Chao Huang Lianghao Xia Yuxuan Liang Yanwei Yu and Chenliang Li. 2022. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. In SIGKDD.","DOI":"10.1145\/3534678.3539342"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Enming Yuan Wei Guo Zhicheng He Huifeng Guo Chengkai Liu and Ruiming Tang. 2022. Multi-Behavior Sequential Transformer Recommender. In SIGIR.","DOI":"10.1145\/3477495.3532023"},{"key":"e_1_3_2_1_48_1","volume-title":"Soundstream: An end-to-end neural audio codec","author":"Zeghidour Neil","year":"2021","unstructured":"Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi. 2021. Soundstream: An end-to-end neural audio codec. IEEE\/ACM Transactions on Audio, Speech, and Language Processing (2021)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Jiaqi Zhai Zhaojie Gong Yueming Wang Xiao Sun Zheng Yan Fu Li and Xing Liu. 2023. Revisiting Neural Retrieval on Accelerators. In SIGKDD. 5520--5531.","DOI":"10.1145\/3580305.3599897"},{"key":"e_1_3_2_1_50_1","volume-title":"Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. In ICML.","author":"Zhai Jiaqi","year":"2024","unstructured":"Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, et al. 2024. Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. In ICML."},{"key":"e_1_3_2_1_51_1","volume-title":"Wayne Xin Zhao, and Ji-Rong Wen","author":"Zhang Gaowei","year":"2024","unstructured":"Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, and Ji-Rong Wen. 2024. Scaling Law of Large Sequential Recommendation Models. In RecSys."},{"key":"e_1_3_2_1_52_1","volume-title":"Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey. arXiv preprint arXiv:2305.13843","author":"Zhang Mingzhu","year":"2023","unstructured":"Mingzhu Zhang, Ruiping Yin, Zhen Yang, Yipeng Wang, and Kan Li. 2023. Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey. arXiv preprint arXiv:2305.13843 (2023)."},{"key":"e_1_3_2_1_53_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.","DOI":"10.24963\/ijcai.2019\/600"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"crossref","unstructured":"Weifeng Zhang Jingwen Mao Yi Cao and Congfu Xu. 2020. Multiplex graph neural networks for multi-behavior recommendation. In CIKM. 2313--2316.","DOI":"10.1145\/3340531.3412119"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Wayne Xin Zhao Yupeng Hou Xingyu Pan Chen Yang Zeyu Zhang Zihan Lin Jingsen Zhang Shuqing Bian Jiakai Tang Wenqi Sun et al. 2022. Recbole 2.0: Towards a more up-to-date recommendation library. In CIKM. 4722--4726.","DOI":"10.1145\/3511808.3557680"},{"key":"e_1_3_2_1_56_1","volume-title":"Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms. In CIKM. 4653--4664.","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, et al. 2021. Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms. In CIKM. 4653--4664."},{"key":"e_1_3_2_1_57_1","volume-title":"H Chi","author":"Zhao Zhe","year":"2015","unstructured":"Zhe Zhao, Zhiyuan Cheng, Lichan Hong, and Ed H Chi. 2015. Improving user topic interest profiles by behavior factorization. In WWW. 1406--1416."},{"key":"e_1_3_2_1_58_1","volume-title":"Wayne Xin Zhao, and Ji-Rong Wen","author":"Zheng Bowen","year":"2024","unstructured":"Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, and Ji-Rong Wen. 2024. Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. In ICDE."},{"key":"e_1_3_2_1_59_1","volume-title":"Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen.","author":"Zhou Kun","year":"2020","unstructured":"Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020. S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization. In CIKM."}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","location":"Boise ID USA","acronym":"CIKM '24","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679730","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:27Z","timestamp":1750294707000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679730"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":59,"alternative-id":["10.1145\/3627673.3679730","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679730","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}