{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:18:46Z","timestamp":1784179126136,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":84,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T00:00:00Z","timestamp":1728345600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"The advanced computing resources provided by the Supercomputing Center of Hangzhou City University"},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372399"],"award-info":[{"award-number":["62372399"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,8]]},"DOI":"10.1145\/3640457.3688118","type":"proceedings-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T15:39:28Z","timestamp":1728401968000},"page":"507-517","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":30,"title":["Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6203-3022","authenticated-orcid":false,"given":"Yu","family":"Cui","sequence":"first","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9265-9431","authenticated-orcid":false,"given":"Feng","family":"Liu","sequence":"additional","affiliation":[{"name":"OPPO Research Institute, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1509-0256","authenticated-orcid":false,"given":"Pengbo","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8264-3182","authenticated-orcid":false,"given":"Bohao","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7933-8706","authenticated-orcid":false,"given":"Heng","family":"Tang","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7876-7182","authenticated-orcid":false,"given":"Yi","family":"Wan","sequence":"additional","affiliation":[{"name":"OPPO Research Institute, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0481-5341","authenticated-orcid":false,"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"OPPO Research Institute, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4752-2629","authenticated-orcid":false,"given":"Jiawei","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Gpt-4 technical report. arXiv preprint arXiv:2303.08774","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia\u00a0Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Fitnets: Hints for thin deep nets","volume":"2","author":"Adriana Romero","year":"2015","unstructured":"Romero Adriana, Ballas Nicolas, K\u00a0Samira Ebrahimi, Chassang Antoine, Gatta Carlo, and Bengio Yoshua. 2015. Fitnets: Hints for thin deep nets. Proc. ICLR 2, 3 (2015), 1.","journal-title":"Proc. ICLR"},{"key":"e_1_3_2_1_3_1","volume-title":"A bi-step grounding paradigm for large language models in recommendation systems. arXiv preprint arXiv:2308.08434","author":"Bao Keqin","year":"2023","unstructured":"Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnaan He, and Qi Tian. 2023. A bi-step grounding paradigm for large language models in recommendation systems. arXiv preprint arXiv:2308.08434 (2023)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608857"},{"key":"e_1_3_2_1_5_1","volume-title":"Language models are few-shot learners. Advances in neural information processing systems 33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared\u00a0D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877\u20131901."},{"key":"e_1_3_2_1_6_1","volume-title":"Aligning Large Language Models with Recommendation Knowledge. arXiv preprint arXiv:2404.00245","author":"Cao Yuwei","year":"2024","unstructured":"Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Keshavan, Lukasz Heldt, Lichan Hong, Ed\u00a0H Chi, and Maheswaran Sathiamoorthy. 2024. Aligning Large Language Models with Recommendation Knowledge. arXiv preprint arXiv:2404.00245 (2024)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462968"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570477"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462919"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3564284","article-title":"Bias and debias in recommender system: A survey and future directions","volume":"41","author":"Chen Jiawei","year":"2023","unstructured":"Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2023. Bias and debias in recommender system: A survey and future directions. ACM Transactions on Information Systems 41, 3 (2023), 1\u201339.","journal-title":"ACM Transactions on Information Systems"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657747"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159668"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00489"},{"key":"e_1_3_2_1_14_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_15_1","volume-title":"Agree to disagree: Adaptive ensemble knowledge distillation in gradient space. advances in neural information processing systems 33","author":"Du Shangchen","year":"2020","unstructured":"Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, and Changshui Zhang. 2020. Agree to disagree: Adaptive ensemble knowledge distillation in gradient space. advances in neural information processing systems 33 (2020), 12345\u201312355."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3426723"},{"key":"e_1_3_2_1_17_1","volume-title":"Chat-rec: Towards interactive and explainable llms-augmented recommender system. arXiv preprint arXiv:2303.14524","author":"Gao Yunfan","year":"2023","unstructured":"Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023. Chat-rec: Towards interactive and explainable llms-augmented recommender system. arXiv preprint arXiv:2303.14524 (2023)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657974"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_21_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_22_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583434"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539381"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-56060-6_24"},{"key":"e_1_3_2_1_26_1","unstructured":"Zhiyu Hu Yang Zhang Minghao Xiao Wenjie Wang Fuli Feng and Xiangnan He. 2024. Exact and Efficient Unlearning for Large Language Model-based Recommendation. arxiv:2404.10327\u00a0[cs.IR]"},{"key":"e_1_3_2_1_27_1","first-page":"33716","article-title":"Knowledge distillation from a stronger teacher","volume":"35","author":"Huang Tao","year":"2022","unstructured":"Tao Huang, Shan You, Fei Wang, Chen Qian, and Chang Xu. 2022. Knowledge distillation from a stronger teacher. Advances in Neural Information Processing Systems 35 (2022), 33716\u201333727.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3648158"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412005"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467319"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_32_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_33_1","volume-title":"2019 IEEE International Conference on Data Mining (ICDM). IEEE, 369\u2013378","author":"Choi Minjin","year":"2019","unstructured":"Jae-woong Lee, Minjin Choi, Jongwuk Lee, and Hyunjung Shim. 2019. Collaborative distillation for top-N recommendation. In 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 369\u2013378."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482093"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371786"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615017"},{"key":"e_1_3_2_1_37_1","unstructured":"Weitao Li Junkai Li Weizhi Ma and Yang Liu. 2024. Citation-Enhanced Generation for LLM-based Chatbots. arxiv:2402.16063\u00a0[cs.CL]"},{"key":"e_1_3_2_1_38_1","volume-title":"Exploring fine-tuning chatgpt for news recommendation. arXiv preprint arXiv:2311.05850","author":"Li Xinyi","year":"2023","unstructured":"Xinyi Li, Yongfeng Zhang, and Edward\u00a0C Malthouse. 2023. Exploring fine-tuning chatgpt for news recommendation. arXiv preprint arXiv:2311.05850 (2023)."},{"key":"e_1_3_2_1_39_1","unstructured":"Zelong Li Jianchao Ji Yingqiang Ge Wenyue Hua and Yongfeng Zhang. 2024. PAP-REC: Personalized Automatic Prompt for Recommendation Language Model. arxiv:2402.00284\u00a0[cs.IR]"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657690"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645467"},{"key":"e_1_3_2_1_42_1","volume-title":"How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. arXiv preprint arXiv:2404.12008","author":"Lin Siyi","year":"2024","unstructured":"Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, and Can Wang. 2024. How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. arXiv preprint arXiv:2404.12008 (2024)."},{"key":"e_1_3_2_1_43_1","volume-title":"A multi-facet paradigm to bridge large language model and recommendation. arXiv preprint arXiv:2310.06491","author":"Lin Xinyu","year":"2023","unstructured":"Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, and Tat-Seng Chua. 2023. A multi-facet paradigm to bridge large language model and recommendation. arXiv preprint arXiv:2310.06491 (2023)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657807"},{"key":"e_1_3_2_1_45_1","volume-title":"A first look at llm-powered generative news recommendation. arXiv preprint arXiv:2305.06566","author":"Liu Qijiong","year":"2023","unstructured":"Qijiong Liu, Nuo Chen, Tetsuya Sakai, and Xiao-Ming Wu. 2023. A first look at llm-powered generative news recommendation. arXiv preprint arXiv:2305.06566 (2023)."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1137\/030601818"},{"key":"e_1_3_2_1_47_1","volume-title":"Approximation theory of the MLP model in neural networks. Acta numerica 8","author":"Pinkus Allan","year":"1999","unstructured":"Allan Pinkus. 1999. Approximation theory of the MLP model in neural networks. Acta numerica 8 (1999), 143\u2013195."},{"key":"e_1_3_2_1_48_1","volume-title":"D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. arXiv preprint arXiv:2401.11478","author":"Qin Jiarui","year":"2024","unstructured":"Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, and Yong Yu. 2024. D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. arXiv preprint arXiv:2401.11478 (2024)."},{"key":"e_1_3_2_1_49_1","volume-title":"Recommender systems with generative retrieval. Advances in Neural Information Processing Systems 36","author":"Rajput Shashank","year":"2024","unstructured":"Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal\u00a0Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Tran, Jonah Samost, 2024. Recommender systems with generative retrieval. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645458"},{"key":"e_1_3_2_1_51_1","article-title":"Binary cross entropy with deep learning technique for image classification","volume":"9","author":"Ruby Usha","year":"2020","unstructured":"Usha Ruby and Vamsidhar Yendapalli. 2020. Binary cross entropy with deep learning technique for image classification. Int. J. Adv. Trends Comput. Sci. Eng 9, 10 (2020).","journal-title":"Int. J. Adv. Trends Comput. Sci. Eng"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657683"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_54_1","volume-title":"Large Language Models Enhanced Collaborative Filtering. arXiv preprint arXiv:2403.17688","author":"Sun Zhongxiang","year":"2024","unstructured":"Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, and Jun Xu. 2024. Large Language Models Enhanced Collaborative Filtering. arXiv preprint arXiv:2403.17688 (2024)."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657821"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220021"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512003"},{"key":"e_1_3_2_1_59_1","volume-title":"Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645598"},{"key":"e_1_3_2_1_61_1","volume-title":"LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. arXiv preprint arXiv:2408.08208","author":"Wang Bohao","year":"2024","unstructured":"Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, and Can Wang. 2024. LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. arXiv preprint arXiv:2408.08208 (2024)."},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"crossref","unstructured":"Hangyu Wang Jianghao Lin Bo Chen Yang Yang Ruiming Tang Weinan Zhang and Yong Yu. 2024. Towards Efficient and Effective Unlearning of Large Language Models for Recommendation. arxiv:2403.03536\u00a0[cs.IR]","DOI":"10.1007\/s11704-024-40044-2"},{"key":"e_1_3_2_1_63_1","volume-title":"ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. arXiv preprint arXiv:2310.19453","author":"Wang Hangyu","year":"2023","unstructured":"Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, and Yong Yu. 2023. ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. arXiv preprint arXiv:2310.19453 (2023)."},{"key":"e_1_3_2_1_64_1","volume-title":"Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153","author":"Wang Lei","year":"2023","unstructured":"Lei Wang and Ee-Peng Lim. 2023. Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153 (2023)."},{"key":"e_1_3_2_1_65_1","volume-title":"Sequential recommender systems: challenges, progress and prospects. arXiv preprint arXiv:2001.04830","author":"Wang Shoujin","year":"2019","unstructured":"Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan\u00a0Z Sheng, and Mehmet Orgun. 2019. Sequential recommender systems: challenges, progress and prospects. arXiv preprint arXiv:2001.04830 (2019)."},{"key":"e_1_3_2_1_66_1","volume-title":"Enhanced Generative Recommendation via Content and Collaboration Integration. arXiv preprint arXiv:2403.18480","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, 2024. Enhanced Generative Recommendation via Content and Collaboration Integration. arXiv preprint arXiv:2403.18480 (2024)."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645671"},{"key":"e_1_3_2_1_68_1","unstructured":"Zhefan Wang Weizhi Ma and Min Zhang. 2024. To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models. arxiv:2403.18628\u00a0[cs.IR]"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635853"},{"key":"e_1_3_2_1_70_1","volume-title":"Towards open-world recommendation with knowledge augmentation from large language models. arXiv preprint arXiv:2306.10933","author":"Xi Yunjia","year":"2023","unstructured":"Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, and Yong Yu. 2023. Towards open-world recommendation with knowledge augmentation from large language models. arXiv preprint arXiv:2306.10933 (2023)."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00099"},{"key":"e_1_3_2_1_72_1","volume-title":"Enhancing Content-based Recommendation via Large Language Model. arXiv preprint arXiv:2404.00236","author":"Xu Wentao","year":"2024","unstructured":"Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, and Shuchao Pang. 2024. Enhancing Content-based Recommendation via Large Language Model. arXiv preprint arXiv:2404.00236 (2024)."},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512081"},{"key":"e_1_3_2_1_74_1","volume-title":"Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. arXiv preprint arXiv:2403.18325","author":"Yang Shenghao","year":"2024","unstructured":"Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, and Mingchen Cai. 2024. Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. arXiv preprint arXiv:2403.18325 (2024)."},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591624"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098135"},{"key":"e_1_3_2_1_77_1","unstructured":"Jizhi Zhang Keqin Bao Wenjie Wang Yang Zhang Wentao Shi Wanhong Xu Fuli Feng and Tat-Seng Chua. 2024. Prospect Personalized Recommendation on Large Language Model-based Agent Platform. arxiv:2402.18240\u00a0[cs.IR]"},{"key":"e_1_3_2_1_78_1","volume-title":"Recommendation as instruction following: A large language model empowered recommendation approach. arXiv preprint arXiv:2305.07001","author":"Zhang Junjie","year":"2023","unstructured":"Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne\u00a0Xin Zhao, Leyu Lin, and Ji-Rong Wen. 2023. Recommendation as instruction following: A large language model empowered recommendation approach. arXiv preprint arXiv:2305.07001 (2023)."},{"key":"e_1_3_2_1_79_1","volume-title":"Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. arXiv preprint arXiv:2404.00702","author":"Zhang Wenlin","year":"2024","unstructured":"Wenlin Zhang, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang, 2024. Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. arXiv preprint arXiv:2404.00702 (2024)."},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3218994"},{"key":"e_1_3_2_1_81_1","volume-title":"Adapting large language models by integrating collaborative semantics for recommendation. arXiv preprint arXiv:2311.09049","author":"Zheng Bowen","year":"2023","unstructured":"Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne\u00a0Xin Zhao, and Ji-Rong Wen. 2023. Adapting large language models by integrating collaborative semantics for recommendation. arXiv preprint arXiv:2311.09049 (2023)."},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645358"},{"key":"e_1_3_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412704"},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645347"}],"event":{"name":"RecSys '24: 18th ACM Conference on Recommender Systems","location":"Bari Italy","acronym":"RecSys '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["18th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688118","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3640457.3688118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:32Z","timestamp":1750294712000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3640457.3688118"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,8]]},"references-count":84,"alternative-id":["10.1145\/3640457.3688118","10.1145\/3640457"],"URL":"https:\/\/doi.org\/10.1145\/3640457.3688118","relation":{},"subject":[],"published":{"date-parts":[[2024,10,8]]},"assertion":[{"value":"2024-10-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}