LehengTHU/LLM4Rec-Classified-Papers

The latest paper list of large language model (LLM) for recommendation

LLM for Recommendation

This repository maintains the latest paper list of large language model (LLM) for recommendation.

Catalogue

Catalogue
Survey
Interpretation with LLM
Agent for Recommendation
- User Side
- Recommender Side
LLM as Recommender

Survey

Source	Time	Title	Group	Citation
arxiv	202309	Large Language Models for Generative Recommendation: A Survey and Visionary Discussions	Yongfeng Zhang
arxiv	202307	When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities	Enhong Chen
arxiv	202307	Recommender Systems in the Era of Large Language Models (LLMs)	Qing Li
arxiv	202306	How Can Recommender Systems Benefit from Large Language Models: A Survey	Ruiming Tang
arxiv	202305	A Survey on Large Language Models for Recommendation	Enhong Chen

Interpretation with LLM

Source	Name	Title	Group	Citation
arxiv 202311	RecExplainer	RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability	Xing Xie
arxiv 202310	RecInterpreter	Large Language Model Can Interpret Latent Space of Sequential Recommender	Xiangnan He
TOIS 2023	PEPLER	Personalized prompt learning for explainable recommendation	Yongfeng Zhang

Agent for Recommendation

User Side

Source	Name	Title	Group	Citation
arxiv 202310	Agent4Rec	On Generative Agents in Recommendation	Xiang Wang
arxiv 202306	RecAgent	When Large Language Model based Agent Meets User Behavior Analysis: A Novel User Simulation Paradigm	Xu Chen

Recommender Side

Source	Name	Title	Group	Citation
arxiv 202310	AgentCF	AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems	Xin Zhao & Ji-rong Wen
arxiv 202308	RecMind	RecMind: Large Language Model Powered Agent For Recommendation	Amazon
arxiv 202308	InteRecAgent	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations	Microsoft Xing Xie

LLM as Recommender

ChatGPT4Rec (Early Explorations)

Source	Name	Title	Group	Citation
RecSys 2023	N/A	Uncovering ChatGPT's Capabilities in Recommender Systems	Chen Gao & Jun Xu
arxiv 202306	N/A	A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News	Yongfeng Zhang
arxiv 202305	N/A	Large Language Models are Zero-Shot Rankers for Recommender Systems	Qing Li
arxiv 202304	N/A	Is ChatGPT a Good Recommender? A Preliminary Study	Alibaba
arxiv 202303	Chat-REC	Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System	Enhong Chen

Full Rank

Source	Name	Title	Group	Citation
arxiv 202312	LC-Rec	Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation	Xin Zhao & Jirong Wen
arxiv 202310	TransRec	A Multi-facet Paradigm to Bridge Large Language Model and Recommendation	Tat-Seng Chua
arxiv 202308	BIGRec	A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems	Xiangnan He

Industrial Application

Source	Name	Title	Group	Citation
arxiv 202308	CTRL	CTRL: Connect Collaborative and Language Model for CTR Prediction	Ruiming Tang
arxiv 202305	M6-Rec	M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems	Alibaba

General

Source	Name	Title	Group	Citation
WSDM 2024	LLMRec	LLMRec: Large Language Models with Graph Augmentation for Recommendation	Chao Huang
WWW 2024	RLMRec	Representation Learning with Large Language Models for Recommendation	Chao Huang
RecSys 2023	TALLRec	TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation	Xiangnan He
ACL 2023	UniTRec	UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation	Kam-Fai Wong
Gen-IR@ SIGIR2023 2023	GPTRec	Generative Sequential Recommendation with GPTRec	Craig Macdonald
SIGIR-AP	IID	How to Index Item IDs for Recommendation Foundation Models	Yongfeng Zhang
arxiv 202312	RecPrompt	RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models	Irene Li
arxiv 202312	RecRanker	RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation	Linqi Song
arxiv 202312	LLaRA	LLaRA: Aligning Large Language Models with Sequential Recommenders	Xiangnan He
arxiv 202311	CLLM4Rec	Collaborative Large Language Model for Recommender Systems	LinkedIn
arxiv 202306	OpenP5	OpenP5: Benchmarking Foundation Models for Recommendation	Yongfeng Zhang
arxiv 202305	PALR	PALR: Personalization Aware LLMs for Recommendation	Amazon
arxiv 202305	InstructRec	Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach	Xin Zhao & Ji-rong Wen
arxiv 202304	GPT4Rec	GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation	Amazon
arxiv 202304	GeneRec	Generative Recommendation: Towards Next-generation Recommender Paradigm	Xiangnan He
KDD 2022	UniSRec	Towards Universal Sequence Representation Learning for Recommender Systems	Xin Zhao & Ji-rong Wen
RecSys 2022	P5	Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)	Amazon