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Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding, as well as impressive generalization capabilities and reasoning skills.
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Language models are unsupervised multitask learners
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Neural graph collaborative filtering
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Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Diffnet++: A neural influence and interest diffusion network for social recommendation
Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, and Meng Wang · 2020
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Lora: Low-rank adaptation of large language models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Lam Tam, Zhengxiao Du, Zhilin Yang, and Jie Tang · 2021
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Dh-hgcn: dual homogeneity hypergraph convolutional network for multiple social recommendations
Jiadi Han, Qian Tao, Yufei Tang, and Yuhan Xia · 2022
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Beyond labels: Leveraging deep learning and llms for content metadata
Saurabh Agrawal, John Trenkle, and Jaya Kawale · 2023
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Information retrieval meets large language models: A strategic report from chinese ir community
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, and Xiaofei Zhu · 2023
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A survey on large language models for personalized and explainable recommendations
Junyi Chen · 2023
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Uncovering chatgpt’s capabilities in recommender systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, and Jun Xu · 2023
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Clap learning audio concepts from natural language supervision
Benjamin Elizalde, Soham Deshmukh, Mahmoud Al Ismail, and Huaming Wang · 2023
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A large language model enhanced conversational recommender system
Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, and Fei Sun · 2023
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Leveraging large language models in conversational recommender systems
Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, et al · 2023
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An unified search and recommendation foundation model for cold-start scenario
Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, and Guannan Zhang · 2023
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Palm 2 technical overview
Google · 2023
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Zero-shot recommendations with pre-trained large language models for multimodal nudging
Rachel M Harrison, Anton Dereventsov, and Anton Bibin · 2023
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Leveraging large language models for sequential recommendation
Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, and Marios Fragkoulis · 2023
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Large language models as zero-shot conversational recommenders
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, and Julian McAuley · 2023
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How to index item ids for recommendation foundation models
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, and Yongfeng Zhang · 2023
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Recommender ai agent: Integrating large language models for interactive recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie · 2023
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Llara: Large language-recommendation assistant
Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, and Xiangnan He · 2023
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Llm-based aspect augmentations for recommendation systems
Reza Yousefi Maragheh, Lalitesh Morishetti, Ramin Giahi, Kaushiki Nag, Jianpeng Xu, Jason Cho, Evren Korpeoglu, Sushant Kumar, and Kannan Achan · 2023
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Large language model augmented narrative driven recommendations
Sheshera Mysore, Andrew McCallum, and Hamed Zamani · 2023
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Lkpnr: Llm and kg for personalized news recommendation framework
Xie Runfeng, Cui Xiangyang, Yan Zhou, Wang Xin, Xuan Zhanwei, Zhang Kai, et al · 2023
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Large language models are competitive near cold-start recommenders for language-and item-based preferences
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, and Lucas Dixon · 2023
Review-driven personalized preference reasoning with large language models for recommendation
Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, and Dongha Lee · 2024
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Large language models for generative recommendation: A survey and visionary discussions
Lei Li, Yongfeng Zhang, Dugang Liu, and Li Chen · 2024
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Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, and Weinan Zhang · 2024
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Modeling user viewing flow using large language models for article recommendation
Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, and Ge Yu · 2024
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Aligning large language models for controllable recommendations
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Leveraging large language models for recommendation and explanation
Itallo Silva, Alan Said, Leandro Balby Marinho, and Martijn C Willemsen · 2023
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Zero-shot next-item recommendation using large pretrained language models
Lei Wang and Ee-Peng Lim · 2023
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Towards open-world recommendation with knowledge augmentation from large language models
Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, and Yong Yu · 2023
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Knowledge plugins: Enhancing large language models for domain-specific recommendations
Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, and Xing Xie · 2023
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mplug-owl: Modularization empowers large language models with multimodality
Qinghao Ye, Haiyang Xu, Guohai Xu, Jiabo Ye, Ming Yan, Yiyang Zhou, Junyang Wang, Anwen Hu, Pengcheng Shi, Yaya Shi, et al · 2023
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Heterogeneous knowledge fusion: A novel approach for personalized recommendation via llm
Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, and Wei Lin · 2023
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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
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Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, and Xing Xie · 2024
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Llm-rec: Personalized recommendation via prompting large language models
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, and Jiebo Luo · 2024
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Recgpt: Generative pre-training for text-based recommendation
Hoang Ngo and Dat Quoc Nguyen · 2024
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Ad recommendation in a collapsed and entangled world
Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, and Jie Jiang · 2024
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Uncertainty-aware explainable recommendation with large language models
Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, and Xin Wang · 2024
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Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, and Yong Li · 2024
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Logic-scaffolding: Personalized aspect-instructed recommendation explanation generation using llms
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, and Branislav Kveton · 2024
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Representation learning with large language models for recommendation
Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, and Chao Huang · 2024
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Pmg: Personalized multimodal generation with large language models
Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, and Xi Xiao · 2024
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Large language models are learnable planners for long-term recommendation
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, and Fuli Feng · 2024
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Leveraging chatgpt for automated human-centered explanations in recommender systems
Ítallo Silva, Leandro Marinho, Alan Said, and Martijn C Willemsen · 2024
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Chatgpt for conversational recommendation: Refining recommendations by reprompting with feedback
Kyle Dylan Spurlock, Cagla Acun, Esin Saka, and Olfa Nasraoui · 2024
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Delrec: Distilling sequential pattern to enhance llm-based recommendation
Guohao Sun and Haoyi Zhang · 2024
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Large language models for intent-driven session recommendations
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, and Yew Soon Ong · 2024
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Idgenrec: Llm-recsys alignment with textual id learning
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, and Yongfeng Zhang · 2024
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Mmrec: Llm based multi-modal recommender system
Jiahao Tian, Jinman Zhao, Zhenkai Wang, and Zhicheng Ding · 2024
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Large language models as data augmenters for cold-start item recommendation
Jianling Wang, Haokai Lu, James Caverlee, Ed H Chi, and Minmin Chen · 2024
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RecMind: Large language model powered agent for recommendation
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, and Yingzhen Yang · 2024
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Llmrec: Large language models with graph augmentation for recommendation
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, and Chao Huang · 2024
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A decoding acceleration framework for industrial deployable llm-based recommender systems
Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, and Yong Yu · 2024
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News recommendation with category description by a large language model
Yuki Yada and Hayato Yamana · 2024
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Harnessing multimodal large language models for multimodal sequential recommendation
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, and Hui Xiong · 2024
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Cosmo: A large-scale e-commerce common sense knowledge generation and serving system at amazon
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Federated recommendation via hybrid retrieval augmented generation
Huimin Zeng, Zhenrui Yue, Qian Jiang, and Dong Wang · 2024
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Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, et al · 2024
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Language-based user profiles for recommendation
Joyce Zhou, Yijia Dai, and Thorsten Joachims · 2024
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Collaborative large language model for recommender systems
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, and Jundong Li · 2024
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