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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"

42 / 42 papers shown
Title
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
Qidong Liu
Xiangyu Zhao
Yejing Wang
Zijian Zhang
Howard Zhong
Chong Chen
X. Li
Wei Huang
Feng Tian
AI4TS
17
0
0
25 Apr 2025
A Survey of AI Agent Protocols
A Survey of AI Agent Protocols
Y. Yang
Huacan Chai
Y. Song
S. Qi
Muning Wen
...
Gaowei Chang
W. Liu
Ying Wen
Yong Yu
W. Zhang
LLMAG
56
1
0
23 Apr 2025
HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
Chen Zhang
Bo Hu
Weidong Chen
Zhendong Mao
39
0
0
14 Apr 2025
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent
Liang-bo Ning
Shijie Wang
Wenqi Fan
Qing Li
Xin Xu
Hao Chen
Feiran Huang
AAML
17
14
0
13 Apr 2025
Slow Thinking for Sequential Recommendation
Slow Thinking for Sequential Recommendation
Junjie Zhang
Beichen Zhang
Wenqi Sun
Hongyu Lu
Wayne Xin Zhao
Yu Chen
Ji-Rong Wen
OffRL
LRM
28
0
0
13 Apr 2025
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
J. Lin
Tian Wang
Kun Qian
LRM
30
2
0
31 Mar 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning
Process-Supervised LLM Recommenders via Flow-guided Tuning
Chongming Gao
Mengyao Gao
Chenxiao Fan
Shuai Yuan
Wentao Shi
Xiangnan He
68
2
0
10 Mar 2025
Revisiting Language Models in Neural News Recommender Systems
Revisiting Language Models in Neural News Recommender Systems
Yuyue Zhao
Jin Huang
David Vos
Maarten de Rijke
KELM
50
0
0
20 Jan 2025
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies
Jiajie Yu
Yuhong Wang
Wei Ma
OffRL
31
1
0
14 Oct 2024
Agentic Information Retrieval
Agentic Information Retrieval
Weinan Zhang
Junwei Liao
Ning Li
Kounianhua Du
Jianghao Lin
AIFin
41
2
0
13 Oct 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Yunjia Xi
Hangyu Wang
Bo Chen
Jianghao Lin
Menghui Zhu
W. Liu
Ruiming Tang
Zhewei Wei
W. Zhang
Yong Yu
OffRL
78
4
0
11 Aug 2024
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large
  Language Model
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
Lingyue Fu
Hao Guan
Kounianhua Du
J. Lin
Wei Xia
Weinan Zhang
Ruiming Tang
Yasheng Wang
Yong Yu
AI4Ed
KELM
RALM
21
4
0
01 Jul 2024
DisCo: Towards Harmonious Disentanglement and Collaboration between
  Tabular and Semantic Space for Recommendation
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
Kounianhua Du
Jizheng Chen
Jianghao Lin
Yunjia Xi
Hangyu Wang
Xinyi Dai
Bo Chen
Ruiming Tang
Weinan Zhang
24
7
0
20 May 2024
A Review of Modern Recommender Systems Using Generative Models
  (Gen-RecSys)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Yashar Deldjoo
Zhankui He
Julian McAuley
A. Korikov
Scott Sanner
Arnau Ramisa
René Vidal
M. Sathiamoorthy
Atoosa Kasirzadeh
Silvia Milano
VLM
26
30
0
31 Mar 2024
Can Small Language Models be Good Reasoners for Sequential
  Recommendation?
Can Small Language Models be Good Reasoners for Sequential Recommendation?
Yuling Wang
Changxin Tian
Binbin Hu
Yanhua Yu
Ziqi Liu
Zhiqiang Zhang
Jun Zhou
Liang Pang
Xiao Wang
LRM
34
25
0
07 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
36
16
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
36
0
0
21 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
50
4
0
02 Feb 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
32
2
0
12 Jan 2024
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
78
20
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
117
12
0
21 Nov 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
G. D. S. P. Moreira
Dong Wang
Even Oldridge
LRM
38
36
0
25 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
34
20
0
23 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
27
8
0
19 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
16
85
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
21
79
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
10
6
0
15 Aug 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
61
307
0
05 Jul 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
21
50
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
107
242
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
74
85
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
57
122
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-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
240
1,070
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
89
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-jin Yang
Ledell Yu Wu
LMTD
63
32
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
301
11,730
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
315
8,261
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
234
780
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
275
3,784
0
18 Apr 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
264
1,798
0
14 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
148
345
0
23 Jul 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
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