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Large Language Models (LLMs) have emerged as a new paradigm for recommendation by converting interacted item history into language modeling.
Session-based Recommendations with Recurrent Neural Networks. In ICLR (Poster)
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016 · 2016
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Self-Attentive Sequential Recommendation. In ICDM . IEEE Computer Society, 197–206
Wang-Cheng Kang and Julian J. McAuley. 2018 · 2018
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Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. In WSDM . ACM, 565–573
Jiaxi Tang and Ke Wang. 2018 · 2018
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Sequential Recommender System based on Hierarchical Attention Networks. In IJCAI . ijcai.org, 3926–3932
Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, and Jian Wu. 2018 · 2018
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Sequential Recommender Systems: Challenges, Progress and Prospects. In IJCAI . ijcai.org, 6332–6338
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, and Mehmet A. Orgun. 2019 · 2019
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al · 2020
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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). In RecSys . ACM, 299–315
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
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Towards Universal Sequence Representation Learning for Recommender Systems. In KDD . ACM, 585–593
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, and Ji-Rong Wen. 2022 · 2022
Earlier work this paper cites.
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, and Qi Tian. 2023a · 2023
Earlier work this paper cites.
Adapting Language Models to Compress Contexts. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing . 3829–3846
Alexis Chevalier, Alexander Wettig, Anirudh Ajith, and Danqi Chen. 2023 · 2023
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Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023 · 2023
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Gemini: A Family of Highly Capable Multimodal Models
Gemini Team Google. 2023 · 2023
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu and Tri Dao. 2023 · 2023
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Large language models as zero-shot conversational recommenders. In Proceedings of the 32nd ACM international conference on information and knowledge management . 720–730
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, and Julian McAuley. 2023 · 2023
Earlier work this paper cites.
How to Index Item IDs for Recommendation Foundation Models. In SIGIR-AP . ACM, 195–204
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, and Yongfeng Zhang. 2023 · 2023
Cited alongside, same era.
Text Is All You Need: Learning Language Representations for Sequential Recommendation. In KDD . ACM, 1258–1267
Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, and Julian J. McAuley. 2023 · 2023
Cited alongside, same era.
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. In SIGIR . ACM, 289–299
Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, and Qing Li. 2023 · 2023
Cited alongside, same era.
Learning to compress prompts with gist tokens
Jesse Mu, Xiang Li, and Noah Goodman. 2023 · 2023
Cited alongside, same era.
OpenAI. 2023 · 2023
Cited alongside, same era.
Language Models as Semantic Indexers. In ICML . OpenReview.net
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, and Xianfeng Tang. 2024 · 2024
Later among the works it cites.
RosePO: Aligning LLM-based Recommenders with Human Values
Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, and Xiang Wang. 2024a · 2024
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ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. In WWW . ACM, 3497–3508
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, and Weinan Zhang. 2024 · 2024
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Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, and James Caverlee. 2024b · 2024
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Recommender Systems with Generative Retrieval. In NeurIPS
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, and Mahesh Sathiamoorthy. 2023 · 2023
Cited alongside, same era.
Large Language Model Can Interpret Latent Space of Sequential Recommender
Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, and Xiangnan He. 2023b · 2023
Cited alongside, same era.
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. In SIGIR . ACM, 2639–2649
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, and Yongxin Ni. 2023 · 2023
Cited alongside, same era.
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, and Even Oldridge. 2023 · 2023
Cited alongside, same era.
Recommendation as instruction following: A large language model empowered recommendation approach
Junjie Zhang, Ruobing Xie, Yupeng Hou, Xin Zhao, Leyu Lin, and Ji-Rong Wen. 2023 · 2023
Cited alongside, same era.
DeepSeek-AI. 2024 · 2024
Cited alongside, same era.
LongRoPE: extending LLM context window beyond 2 million tokens. In Proceedings of the 41st International Conference on Machine Learning . 11091–11104
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, and Mao Yang. 2024 · 2024
Cited alongside, same era.
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2024a · 2024
Later among the works it cites.
Patch-Level Training for Large Language Models
Chenze Shao, Fandong Meng, and Jie Zhou. 2024 · 2024
Later among the works it cites.
RoFormer: Enhanced transformer with Rotary Position Embedding
Jianlin Su, Murtadha H. M. Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu. 2024 · 2024
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An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, and et al. 2024 · 2024
Later among the works it cites.
CompAct: Compressing Retrieved Documents Actively for Question Answering. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing . 21424–21439
Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, and Jaewoo Kang. 2024 · 2024
Later among the works it cites.
Memorybank: Enhancing large language models with long-term memory. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 19724–19731
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang. 2024 · 2024
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LLM-based User Profile Management for Recommender System
Seunghwan Bang and Hwanjun Song. 2025 · 2025
Closest in time.
R 3 Mem: Bridging Memory Retention and Retrieval via Reversible Compression
Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, and Bang Liu. 2025 · 2025
Closest in time.
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, and Xiangnan He. 2025 · 2025
Closest in time.