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How Can Recommender Systems Benefit from Large Language Models: A Survey

How Can Recommender Systems Benefit from Large Language Models: A Survey

9 June 2023
Jianghao Lin
Xinyi Dai
Yunjia Xi
Weiwen Liu
Bo Chen
Hao Zhang
Yong Liu
Chuhan Wu
Xiangyang Li
Chenxu Zhu
Huifeng Guo
Yong Yu
Ruiming Tang
Weinan Zhang
    LRM
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Papers citing "How Can Recommender Systems Benefit from Large Language Models: A Survey"

50 / 103 papers shown
Title
Towards Efficient and Effective Unlearning of Large Language Models for
  Recommendation
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
Hangyu Wang
Jianghao Lin
Bo Chen
Yang Yang
Ruiming Tang
Weinan Zhang
Yong Yu
MU
39
10
0
06 Mar 2024
A Survey of Route Recommendations: Methods, Applications, and
  Opportunities
A Survey of Route Recommendations: Methods, Applications, and Opportunities
Shi-sheng Zhang
Zhipeng Luo
Li Yang
Fei Teng
Tian-Jie Li
AI4TS
HAI
23
11
0
01 Mar 2024
Prospect Personalized Recommendation on Large Language Model-based Agent
  Platform
Prospect Personalized Recommendation on Large Language Model-based Agent Platform
Jizhi Zhang
Keqin Bao
Wenjie Wang
Yang Zhang
Wentao Shi
Wanhong Xu
Fuli Feng
Tat-Seng Chua
LLMAG
51
17
0
28 Feb 2024
GCOF: Self-iterative Text Generation for Copywriting Using Large
  Language Model
GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model
Jianghui Zhou
Ya Gao
Jie Liu
Xuemin Zhao
Zhaohua Yang
Yue Wu
Lirong Shi
51
0
0
21 Feb 2024
Stealthy Attack on Large Language Model based Recommendation
Stealthy Attack on Large Language Model based Recommendation
Jinghao Zhang
Yuting Liu
Qiang Liu
Shu Wu
Guibing Guo
Liang Wang
35
13
0
18 Feb 2024
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for
  Optimized Recommendations
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
Xinyuan Wang
Liang Wu
Liangjie Hong
Hao Liu
Yanjie Fu
38
19
0
14 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement
  Learning and Large Language Models
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
M. Pternea
Prerna Singh
Abir Chakraborty
Y. Oruganti
M. Milletarí
Sayli Bapat
Kebei Jiang
OffRL
33
7
0
02 Feb 2024
Improving Sequential Recommendations with LLMs
Improving Sequential Recommendations with LLMs
Artun Boz
Wouter Zorgdrager
Zoe Kotti
Jesse Harte
Panos Louridas
Dietmar Jannach
Vassilios Karakoidas
Marios Fragkoulis
KELM
LRM
75
4
0
02 Feb 2024
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
Zelong Li
Jianchao Ji
Yingqiang Ge
Wenyue Hua
Yongfeng Zhang
19
5
0
01 Feb 2024
Parameter-Efficient Conversational Recommender System as a Language
  Processing Task
Parameter-Efficient Conversational Recommender System as a Language Processing Task
Mathieu Ravaut
Hao Zhang
Lu Xu
Aixin Sun
Yong-jin Liu
40
11
0
25 Jan 2024
Enhancing Recommendation Diversity by Re-ranking with Large Language
  Models
Enhancing Recommendation Diversity by Re-ranking with Large Language Models
Diego Carraro
Derek Bridge
LRM
ALM
50
15
0
21 Jan 2024
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for
  Software Purchase
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase
Angela John
Theophilus Aidoo
Hamayoon Behmanush
Irem B. Gunduz
Hewan Shrestha
M. R. Rahman
Wolfgang Maass
49
2
0
12 Jan 2024
Adapting Large Language Models for Education: Foundational Capabilities,
  Potentials, and Challenges
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Qingyao Li
Lingyue Fu
Weiming Zhang
Xianyu Chen
Jingwei Yu
Wei Xia
Weinan Zhang
Ruiming Tang
Yong Yu
AI4Ed
ELM
46
18
0
27 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and
  Future Directions
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan
Meng Jiang
35
8
0
11 Dec 2023
E4SRec: An Elegant Effective Efficient Extensible Solution of Large
  Language Models for Sequential Recommendation
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation
Xinhang Li
Chong Chen
Xiangyu Zhao
Yong Zhang
Chunxiao Xing
92
43
0
05 Dec 2023
A Survey on Large Language Models for Personalized and Explainable
  Recommendations
A Survey on Large Language Models for Personalized and Explainable Recommendations
Junyi Chen
LRM
138
12
0
21 Nov 2023
Modeling User Viewing Flow Using Large Language Models for Article
  Recommendation
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
Ge Yu
28
6
0
12 Nov 2023
LightLM: A Lightweight Deep and Narrow Language Model for Generative
  Recommendation
LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation
Kai Mei
Yongfeng Zhang
VLM
105
11
0
26 Oct 2023
Multiple Key-value Strategy in Recommendation Systems Incorporating
  Large Language Model
Multiple Key-value Strategy in Recommendation Systems Incorporating Large Language Model
Dui Wang
Xiangyu Hou
Xiaohui Yang
Bo Zhang
Renbing Chen
Daiyue Xue
KELM
19
3
0
25 Oct 2023
LlamaRec: Two-Stage Recommendation using Large Language Models for
  Ranking
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Zhenrui Yue
Sara Rabhi
Gabriel de Souza P. Moreira
Dong Wang
Even Oldridge
LRM
48
36
0
25 Oct 2023
Representation Learning with Large Language Models for Recommendation
Representation Learning with Large Language Models for Recommendation
Xubin Ren
Wei Wei
Lianghao Xia
Lixin Su
Suqi Cheng
Junfeng Wang
Dawei Yin
Chao Huang
47
156
0
24 Oct 2023
Conversational Recommender System and Large Language Model Are Made for
  Each Other in E-commerce Pre-sales Dialogue
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
Yuanxing Liu
Wei-Nan Zhang
Yifan Chen
Yuchi Zhang
Haopeng Bai
Fan Feng
Hengbin Cui
Yongbin Li
Wanxiang Che
36
20
0
23 Oct 2023
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting
  Language Models to CTR Prediction
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin
Bo Chen
Hangyu Wang
Yunjia Xi
Yanru Qu
Xinyi Dai
Kangning Zhang
Ruiming Tang
Yong Yu
Weinan Zhang
60
32
0
13 Oct 2023
AgentCF: Collaborative Learning with Autonomous Language Agents for
  Recommender Systems
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
Junjie Zhang
Yupeng Hou
Ruobing Xie
Wenqi Sun
Julian McAuley
Wayne Xin Zhao
Leyu Lin
Ji-Rong Wen
LLMAG
22
69
0
13 Oct 2023
Ten Challenges in Industrial Recommender Systems
Ten Challenges in Industrial Recommender Systems
Zhenhua Dong
Jieming Zhu
Weiwen Liu
Ruiming Tang
12
2
0
07 Oct 2023
Reformulating Sequential Recommendation: Learning Dynamic User Interest
  with Content-enriched Language Modeling
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
Junzhe Jiang
Shang Qu
Mingyue Cheng
Qi Liu
Zhiding Liu
...
Rujiao Zhang
Kai Zhang
Rui Li
Jiatong Li
Min Gao
KELM
35
8
0
19 Sep 2023
CodeApex: A Bilingual Programming Evaluation Benchmark for Large
  Language Models
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
Lingyue Fu
Huacan Chai
Shuang Luo
Kounianhua Du
Weiming Zhang
...
Jingkuan Wang
Siyuan Qi
Kangning Zhang
Weinan Zhang
Yong Yu
ELM
26
9
0
05 Sep 2023
Large Language Models for Generative Recommendation: A Survey and
  Visionary Discussions
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Lei Li
Yongfeng Zhang
Dugang Liu
L. Chen
3DV
LRM
32
71
0
03 Sep 2023
Zero-Shot Recommendations with Pre-Trained Large Language Models for
  Multimodal Nudging
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging
Rachel M. Harrison
Anton Dereventsov
A. Bibin
20
9
0
02 Sep 2023
RecMind: Large Language Model Powered Agent For Recommendation
RecMind: Large Language Model Powered Agent For Recommendation
Yancheng Wang
Ziyan Jiang
Zheng Chen
Fan Yang
Yingxue Zhou
Eunah Cho
Xing Fan
Xiaojiang Huang
Yanbin Lu
Yingzhen Yang
LLMAG
LM&Ro
LRM
44
86
0
28 Aug 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
48
83
0
22 Aug 2023
The Costly Dilemma: Generalization, Evaluation and Cost-Optimal
  Deployment of Large Language Models
The Costly Dilemma: Generalization, Evaluation and Cost-Optimal Deployment of Large Language Models
Abi Aryan
Aakash Kumar Nain
Andrew McMahon
Lucas Augusto Meyer
Harpreet Sahota
27
6
0
15 Aug 2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate
  Prediction
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
Jianghao Lin
Yanru Qu
Wei Guo
Xinyi Dai
Ruiming Tang
Yong Yu
Weinan Zhang
30
21
0
03 Aug 2023
When Large Language Models Meet Personalization: Perspectives of
  Challenges and Opportunities
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen
Zheng Liu
Xunpeng Huang
Chenwang Wu
Qi Liu
...
Yuxuan Lei
Xiaolong Chen
Xingmei Wang
Defu Lian
Enhong Chen
ALM
35
112
0
31 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
63
311
0
05 Jul 2023
Could Small Language Models Serve as Recommenders? Towards Data-centric
  Cold-start Recommendations
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
Xuansheng Wu
Huachi Zhou
Yucheng Shi
Wenlin Yao
Xiao Shi Huang
Ninghao Liu
LRM
40
8
0
29 Jun 2023
A Survey on Large Language Models for Recommendation
A Survey on Large Language Models for Recommendation
Likang Wu
Zhilan Zheng
Zhaopeng Qiu
Hao Wang
Hongchao Gu
...
Chen Zhu
Hengshu Zhu
Qi Liu
Hui Xiong
Enhong Chen
53
359
0
31 May 2023
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Wenyue Hua
Yingqiang Ge
Shuyuan Xu
Jianchao Ji
Yongfeng Zhang
31
51
0
20 May 2023
Recommendation as Instruction Following: A Large Language Model
  Empowered Recommendation Approach
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Junjie Zhang
Ruobing Xie
Yupeng Hou
Wayne Xin Zhao
Leyu Lin
Ji-Rong Wen
37
203
0
11 May 2023
ONCE: Boosting Content-based Recommendation with Both Open- and
  Closed-source Large Language Models
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Qijiong Liu
Nuo Chen
Tetsuya Sakai
Xiao-Ming Wu
39
51
0
11 May 2023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
RALM
KELM
132
267
0
25 Mar 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a
  Good Reranker for Hard Samples!
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Yubo Ma
Yixin Cao
YongChing Hong
Aixin Sun
RALM
80
143
0
15 Mar 2023
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
68
125
0
22 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
275
1,077
0
05 Oct 2022
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for
  Multilingual Tweet Representations at Twitter
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
Xinyang Zhang
Yury Malkov
Omar U. Florez
Serim Park
Brian McWilliams
Jiawei Han
Ahmed El-Kishky
VLM
61
91
0
15 Sep 2022
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Guangyi Liu
Jie Yang
Ledell Yu Wu
LMTD
65
35
0
15 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
384
12,150
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
447
8,699
0
28 Jan 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
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
Jie Tang
VLM
238
816
0
14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
283
3,879
0
18 Apr 2021
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