{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:24:09Z","timestamp":1771025049449,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","funder":[{"name":"National Science Foundation of China","award":["No. 62206002, No. 62272001 and No. 62206004"],"award-info":[{"award-number":["No. 62206002, No. 62272001 and No. 62206004"]}]},{"DOI":"10.13039\/501100006374","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["No. 2208085QF195"],"award-info":[{"award-number":["No. 2208085QF195"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Xunfei Zhiyuan Digital Transformation Innovation Research Special for Universities","award":["No. 2023ZY001"],"award-info":[{"award-number":["No. 2023ZY001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,13]]},"DOI":"10.1145\/3726302.3730011","type":"proceedings-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T01:25:28Z","timestamp":1752456328000},"page":"1870-1879","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Intent Representation Learning with Large Language Model for Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6272-8714","authenticated-orcid":false,"given":"Yu","family":"Wang","sequence":"first","affiliation":[{"name":"Anhui University, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1480-6522","authenticated-orcid":false,"given":"Lei","family":"Sang","sequence":"additional","affiliation":[{"name":"Anhui University, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8196-0668","authenticated-orcid":false,"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Anhui University, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8709-1088","authenticated-orcid":false,"given":"Yiwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Anhui University, Hefei, China"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad Ilge Akkaya Florencia Leoni Aleman Diogo Almeida Janko Altenschmidt Sam Altman Shyamal Anadkat et al. 2023. Gpt-4 Technical Report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_2_1","volume-title":"Tallrec: An Effective and Efficient Tuning Framework to Align lLarge Language Model with Recommendation. In RecSys. 1007--1014.","author":"Bao Keqin","year":"2023","unstructured":"Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He. 2023. Tallrec: An Effective and Efficient Tuning Framework to Align lLarge Language Model with Recommendation. In RecSys. 1007--1014."},{"key":"e_1_3_2_1_3_1","unstructured":"Xuheng Cai Chao Huang Lianghao Xia and Xubin Ren. 2023. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. In ICLR."},{"key":"e_1_3_2_1_4_1","first-page":"26924","article-title":"Curriculum Disentangled Recommendation with Noisy Multi-feedback","volume":"34","author":"Chen Hong","year":"2021","unstructured":"Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, and Wenwu Zhu. 2021. Curriculum Disentangled Recommendation with Noisy Multi-feedback. NeurIPS, Vol. 34 (2021), 26924--26936.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_1_6_1","unstructured":"Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020a. A Simple Framework for Contrastive Learning of Visual Representations. In ICML. PMLR 1597--1607."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Yongjun Chen Zhiwei Liu Jia Li Julian McAuley and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW. 2172--2182.","DOI":"10.1145\/3485447.3512090"},{"key":"e_1_3_2_1_8_1","unstructured":"Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey Abhishek Kadian Ahmad Al-Dahle Aiesha Letman Akhil Mathur Alan Schelten Amy Yang Angela Fan et al. 2024. The Llama 3 Herd of Models. arXiv preprint arXiv:2407.21783 (2024)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Shaohua Fan Junxiong Zhu Xiaotian Han Chuan Shi Linmei Hu Biyu Ma and Yongliang Li. 2019. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. In KDD. 2478--2486.","DOI":"10.1145\/3292500.3330673"},{"key":"e_1_3_2_1_10_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_11_1","volume-title":"Proceedings of the thirteenth International Conference on Artificial Intelligence and Statistics (ICAIS). JMLR Workshop and Conference Proceedings, 249--256","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio. 2010. Understanding the Difficulty of Training Deep Feedforward Neural Networks. In Proceedings of the thirteenth International Conference on Artificial Intelligence and Statistics (ICAIS). JMLR Workshop and Conference Proceedings, 249--256."},{"key":"e_1_3_2_1_12_1","unstructured":"Kaiming He Haoqi Fan Yuxin Wu Saining Xie and Ross Girshick. 2020b. Momentum Contrast for Unsupervised Visual Representation Learning. In CVPR. 9729--9738."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural Collaborative Filtering. In WWW. 173--182.","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_15_1","first-page":"6840","article-title":"Denoising Diffusion Probabilistic Models","volume":"33","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising Diffusion Probabilistic Models. In NeurIPS, Vol. 33. 6840-6851.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_16_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_17_1","volume-title":"Bridging language and items for retrieval and recommendation. arXiv preprint arXiv:2403.03952","author":"Hou Yupeng","year":"2024","unstructured":"Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, and Julian McAuley. 2024. Bridging language and items for retrieval and recommendation. arXiv preprint arXiv:2403.03952 (2024)."},{"key":"e_1_3_2_1_18_1","volume-title":"Shafiq Joty, Caiming Xiong, and Steven Hoi.","author":"Li Junnan","year":"2021","unstructured":"Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, and Steven Hoi. 2021. Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. In NeurIPS."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Dawen Liang Rahul G Krishnan Matthew D Hoffman and Tony Jebara. 2018. Variational Autoencoders for Collaborative Filtering. In WWW. 689--698.","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_20_1","volume-title":"RosePO: Aligning LLM-based Recommenders with Human Values. arXiv preprint arXiv:2410.12519","author":"Liao Jiayi","year":"2024","unstructured":"Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, and Xiang Wang. 2024a. RosePO: Aligning LLM-based Recommenders with Human Values. arXiv preprint arXiv:2410.12519 (2024)."},{"key":"e_1_3_2_1_21_1","volume-title":"Llara: Large Language-Recommendation Assistant. In SIGIR. 1785--1795.","author":"Liao Jiayi","year":"2024","unstructured":"Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, and Xiangnan He. 2024b. Llara: Large Language-Recommendation Assistant. In SIGIR. 1785--1795."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen and Xiang Zhang. 2021. Learning to Drop: Robust Graph Neural Network via Topological Denoising. In WSDM. 779--787.","DOI":"10.1145\/3437963.3441734"},{"key":"e_1_3_2_1_23_1","unstructured":"Jianxin Ma Peng Cui Kun Kuang Xin Wang and Wenwu Zhu. 2019a. Disentangled Graph Convolutional Networks. In ICML. PMLR 4212--4221."},{"key":"e_1_3_2_1_24_1","volume-title":"NeurIPS","volume":"32","author":"Ma Jianxin","year":"2019","unstructured":"Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, and Wenwu Zhu. 2019b. Learning Disentangled Representations for Recommendation. NeurIPS, Vol. 32 (2019)."},{"key":"e_1_3_2_1_25_1","volume-title":"Caiming Xiong, Yingbo Zhou, and Semih Yavuz.","author":"Meng Rui","year":"2024","unstructured":"Rui Meng, Ye Liu, Shafiq Rayhan Joty, Caiming Xiong, Yingbo Zhou, and Semih Yavuz. 2024. SFR-Embedding-Mistral: Enhance Text Retrieval with Transfer Learning. Salesforce AI Research Blog, Vol. 3 (2024)."},{"key":"e_1_3_2_1_26_1","volume-title":"Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, et al.","author":"Neelakantan Arvind","year":"2022","unstructured":"Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, et al. 2022. Text and Code Embeddings by Contrastive Pre-training. arXiv preprint arXiv:2201.10005 (2022)."},{"key":"e_1_3_2_1_27_1","volume-title":"Denoising Alignment with Large Language Model for Recommendation. ACM Transactions on Information Systems (TOIS)","author":"Peng Yingtao","year":"2024","unstructured":"Yingtao Peng, Chen Gao, Yu Zhang, Tangpeng Dan, Xiaoyi Du, Hengliang Luo, Yong Li, and Xiaofeng Meng. 2024. Denoising Alignment with Large Language Model for Recommendation. ACM Transactions on Information Systems (TOIS) (2024)."},{"key":"e_1_3_2_1_28_1","volume-title":"EasyRec: Simple yet Effective Language Models for Recommendation. arXiv preprint arXiv:2408.08821","author":"Ren Xubin","year":"2024","unstructured":"Xubin Ren and Chao Huang. 2024. EasyRec: Simple yet Effective Language Models for Recommendation. arXiv preprint arXiv:2408.08821 (2024)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Xubin Ren Wei Wei Lianghao Xia Lixin Su Suqi Cheng Junfeng Wang Dawei Yin and Chao Huang. 2024a. Representation Learning with Large Language Models for Recommendation. In WWW. 3464--3475.","DOI":"10.1145\/3589334.3645458"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Xubin Ren Lianghao Xia Yuhao Yang Wei Wei Tianle Wang Xuheng Cai and Chao Huang. 2024b. SSLRec: A Self-Supervised Learning Framework for Recommendation. In WSDM. 567--575.","DOI":"10.1145\/3616855.3635814"},{"key":"e_1_3_2_1_31_1","first-page":"1137","article-title":"Disentangled Contrastive Collaborative Filtering","author":"Ren Xubin","year":"2023","unstructured":"Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, and Chao Huang. 2023. Disentangled Contrastive Collaborative Filtering. In SIGIR. 1137-1146.","journal-title":"SIGIR."},{"key":"e_1_3_2_1_32_1","volume-title":"Recommender Systems Handbook","author":"Ricci Francesco","unstructured":"Francesco Ricci, Lior Rokach, and Bracha Shapira. 2010. Introduction to Recommender Systems Handbook. In Recommender Systems Handbook. Springer, 1--35."},{"key":"e_1_3_2_1_33_1","volume-title":"Denoising Heterogeneous Graph Pre-training Framework for Recommendation. ACM Transactions on Information Systems (TOIS)","author":"Sang Lei","year":"2024","unstructured":"Lei Sang, Yu Wang, Yiwen Zhang, and Xindong Wu. 2024. Denoising Heterogeneous Graph Pre-training Framework for Recommendation. ACM Transactions on Information Systems (TOIS) (2024)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3536096"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3007330"},{"key":"e_1_3_2_1_36_1","volume-title":"Language Representations Can be What Recommenders Need: Findings and Potentials. ICLR","author":"Sheng Leheng","year":"2025","unstructured":"Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, and Tat-Seng Chua. 2025. Language Representations Can be What Recommenders Need: Findings and Potentials. ICLR (2025)."},{"key":"e_1_3_2_1_37_1","volume-title":"NeurIPS","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In NeurIPS, Vol. 30."},{"key":"e_1_3_2_1_38_1","first-page":"9929","article-title":"Understanding contrastive representation learning through alignment and uniformity on the hypersphere","author":"Wang Tongzhou","year":"2020","unstructured":"Tongzhou Wang and Phillip Isola. 2020. Understanding contrastive representation learning through alignment and uniformity on the hypersphere. In ICML. PMLR, 9929-9939.","journal-title":"ICML. PMLR"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Wenjie Wang Fuli Feng Xiangnan He Xiang Wang and Tat-Seng Chua. 2021a. Deconfounded Recommendation for Alleviating Bias Amplification. In KDD. 1717--1725.","DOI":"10.1145\/3447548.3467249"},{"key":"e_1_3_2_1_40_1","first-page":"165","article-title":"Neural Graph Collaborative Filtering","author":"Wang Xiang","year":"2019","unstructured":"Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR. 165-174.","journal-title":"SIGIR."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He and Tat-Seng Chua. 2021b. Learning Intents behind Interactions with Knowledge Graph for Recommendation. In WWW. 878--887.","DOI":"10.1145\/3442381.3450133"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu and Tat-Seng Chua. 2020a. Disentangled Graph Collaborative Filtering. In SIGIR. 1001--1010.","DOI":"10.1145\/3397271.3401137"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Yifan Wang Suyao Tang Yuntong Lei Weiping Song Sheng Wang and Ming Zhang. 2020b. DisenHAN: Disentangled Heterogeneous Graph Attention Nnetwork for Recommendation. In CIKM. 1605--1614.","DOI":"10.1145\/3340531.3411996"},{"key":"e_1_3_2_1_44_1","first-page":"24824","article-title":"Chain-of-thought Prompting Elicits Reasoning in Large Language Models","volume":"35","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought Prompting Elicits Reasoning in Large Language Models. NeurIPS, Vol. 35 (2022), 24824--24837.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3530257"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian and Xing Xie. 2021. Self-supervised Graph Learning for Recommendation. In SIGIR. 726--735.","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Yunjia Xi Weiwen Liu Jianghao Lin Xiaoling Cai Hong Zhu Jieming Zhu Bo Chen Ruiming Tang Weinan Zhang and Yong Yu. 2024. Towards Open-world Recommendation with Knowledge Augmentation from Large Language Models. In RecSys. 12--22.","DOI":"10.1145\/3640457.3688104"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Yonghui Yang Le Wu Zihan Wang Zhuangzhuang He Richang Hong and Meng Wang. 2024. Graph Bottlenecked Social Recommendation. In KDD. 3853--3862.","DOI":"10.1145\/3637528.3671807"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Junliang Yu Hongzhi Yin Xin Xia Tong Chen Lizhen Cui and Quoc Viet Hung Nguyen. 2022. Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation. In SIGIR. 1294--1303.","DOI":"10.1145\/3477495.3531937"},{"key":"e_1_3_2_1_50_1","volume-title":"Dong Wang, and Even Oldridge.","author":"Yue Zhenrui","year":"2023","unstructured":"Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, and Even Oldridge. 2023. LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. CIKM (2023)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Yi Zhang Lei Sang and Yiwen Zhang. 2024a. Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering. In SIGIR. 1253--1262.","DOI":"10.1145\/3626772.3657738"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3701230","article-title":"Simplify to the Limit! Embedding-less Graph Collaborative Filtering for Recommender Systems","volume":"43","author":"Zhang Yi","year":"2024","unstructured":"Yi Zhang, Yiwen Zhang, Lei Sang, and Victor S Sheng. 2024b. Simplify to the Limit! Embedding-less Graph Collaborative Filtering for Recommender Systems. ACM Transactions on Information Systems (TOIS), Vol. 43, 1 (2024), 1--30.","journal-title":"ACM Transactions on Information Systems (TOIS)"}],"event":{"name":"SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Padua Italy","acronym":"SIGIR '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3726302.3730011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T12:16:39Z","timestamp":1755864999000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3730011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":52,"alternative-id":["10.1145\/3726302.3730011","10.1145\/3726302"],"URL":"https:\/\/doi.org\/10.1145\/3726302.3730011","relation":{},"subject":[],"published":{"date-parts":[[2025,7,13]]},"assertion":[{"value":"2025-07-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}