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LLM4Rec-Awesome-Papers

大语言模型在推荐系统中的最新应用及研究进展综述

该项目汇总了大语言模型在推荐系统中应用的优秀论文和资源。内容涵盖无调整和有监督微调两类方法,包括ChatGPT、GPT、LLaMA等模型在推荐领域的最新探索。项目还提供相关调查、教程和数据集信息,为研究人员提供全面参考。持续更新的内容反映了这一快速发展的研究热点,展现大语言模型在推荐系统中的潜力。

LLM for Recommendation Systems

A list of awesome papers and resources of recommender system on large language model (LLM).

🎉 News: Our LLM4Rec survey has been released. A Survey on Large Language Models for Recommendation

The related work and projects will be updated soon and continuously.

Editor

If our work has been of assistance to you, please feel free to cite our survey. Thank you.

@article{llm4recsurvey,
  author       = {Likang Wu and Zhi Zheng and Zhaopeng Qiu and Hao Wang and Hongchao Gu and Tingjia Shen and Chuan Qin and Chen Zhu and Hengshu Zhu and Qi Liu and Hui Xiong and Enhong Chen},
  title        = {A Survey on Large Language Models for Recommendation},
  journal      = {CoRR},
  volume       = {abs/2305.19860},
  year         = {2023}
}

Table of Contents

The papers and related projects

No Tuning

Note: The tuning here only indicates whether the LLM model has been tuned.

NamePaperVenueYearCodeLLM
N/ALarge Language Models as Data Augmenters for Cold-Start Item RecommendationarXiv2024N/APaLM
LLM4RECLLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized RecommendationsarXiv2024PythonGPT2
Lite-LLM4RecRethinking Large Language Model Architectures for Sequential RecommendationsarXiv2024N/AT5
Rec-GPT4VRec-GPT4V: Multimodal Recommendation with Large Vision-Language ModelsarXiv2024N/AGPT4-V, LLaVA2
LLM4VisLLM4Vis: Explainable Visualization Recommendation using ChatGPTEMNLP2023PythonGPT
LLMRecLLMRec: Large Language Models with Graph Augmentation for RecommendationWSDM2024PythonGPT
RLMRecRepresentation Learning with Large Language Models for RecommendationWWW2024PythonGPT-3.5
KP4SRKnowledge Prompt-tuning for Sequential RecommendationACM2023N/AGPT-3.5
RecInterpreterLarge Language Model Can Interpret Latent Space of Sequential RecommenderarXiv2023PythonLLaMA-7b
N/ALarge Language Models as Zero-Shot Conversational RecommendersCIKM2023PythonGPT-3.5-turbo ,GPT-4,BAIZE,Vicuna
Agent4RecOn Generative Agents in Recommendationarxiv2023PythonGPT4
N/AZero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudgingarxiv2023N/ABLIP-2+GPT4
InteRecAgentRecommender AI Agent: Integrating Large Language Models for Interactive Recommendationsarxiv2023N/AGPT4
GPT4SMAre GPT Embeddings Useful for Ads and Recommendation?KSEM2023PythonGPT
LLMRGEnhancing Recommender Systems with Large Language Model Reasoning Graphsarxiv2023N/AGPT-3.5/GPT4
RAHRAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Modelsarxiv2023N/AGPT4
LLM-RecLLM-Rec: Personalized Recommendation via Prompting Large Language Modelsarxiv2023N/AGPT-3
N/ABeyond Labels: Leveraging Deep Learning and LLMs for Content MetadataRecSys2023N/AGPT4
N/ARetrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language ModelsRecSys2023N/AChatGPT
N/ALLM Based Generation of Item-Description for Recommendation SystemRecSys2023N/AAlpaca
N/ALarge Language Models are Competitive Near Cold-start Recommenders for Language-and Item-based PreferencesRecSys2023N/APaLM
MINTLarge Language Model Augmented Narrative Driven RecommendationsRecsys2023N/A175B InstructGPT
KARTowards Open-World Recommendation with Knowledge Augmentation from Large Language Modelsarxiv2023PythonChatGLM
RecAgentRecAgent: A Novel Simulation Paradigm for Recommender Systemsarxiv2023PythonChatGPT
AnyPredictAnyPredict: Foundation Model for Tabular Predictionarxiv2023N/AChatGPT,BioBERT
iEvaLMRethinking the Evaluation for Conversational Recommendation in the Era of Large Language Modelsarxiv2023PythonChatGPT
N/ALarge Language Models are Zero-Shot Rankers for Recommender Systemsarxiv2023PythonChatGPT
FaiRLLMIs ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model RecommendationRecsys2023PythonChatGPT
GENREA First Look at LLM-Powered Generative News Recommendationarxiv2023PythonChatGPT
N/ASparks of Artificial General Recommender (AGR): Early Experiments with ChatGPTarxiv2023N/AChatGPT
N/AUncovering ChatGPT's Capabilities in Recommender Systemsarxiv2023PythonChatGPT
N/AIs ChatGPT a Good Recommender? A Preliminary Studyarxiv2023N/AChatGPT
VQ-RecLearning vector-quantized item representation for transferable sequential recommendersACM2023PythonBERT
RankGPTIs ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agentarxiv2023PythonChatGPT/4
GeneRecGenerative Recommendation: Towards Next-generation Recommender Paradigmarxiv2023PythonN/A
NIRZero-Shot Next-Item Recommendation using Large Pretrained Language Modelsarxiv2023PythonGPT-3.5
Chat-RECChat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender Systemarxiv2023N/AChatGPT
N/AZero-Shot Recommendation as Language ModelingECIR2022PythonGPT-2
UniCRSTowards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt LearningKDD2022PythonGPT-2/ DialoGPT /BART
LLMRecLLMRec: Large Language Models with Graph Augmentation for RecommendationWSDM2024PythonChatGPT
K-LaMPK-LaMP: Knowledge-Guided Language Model Pre-training for Sequential RecommendationarXiv2023N/AGPT-4

Supervised Fine-Tuning

NamePaperVenueYearCodeLLM
N/AAligning Large Language Models for Controllable RecommendationsarXiv2024N/Allama2
SLIMCan Small Language Models be Good Reasoners for Sequential Recommendation?arXiv2024N/AChatGPT,llama2
GPT-FedRecFederated Recommendation via Hybrid Retrieval Augmented GenerationarXiv2024N/AE5
NoteLLMNoteLLM: A Retrievable Large Language Model for Note RecommendationWWW2024N/Allama2
N/AEnhancing Recommendation Diversity by Re-ranking with Large Language ModelsarXiv2024N/AChatGPT, LLaMA2
LLama4RecIntegrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive AggregationarXiv2024N/ALLaMA
N/ALarge Language Model with Graph Convolution for RecommendationarXiv2024N/AGPT4,LLaMA2,ChatGLM
LLM-InSLarge Language Model Interaction Simulator for Cold-Start Item RecommendationarXiv2024N/ALLaMA2
LLM4RECLLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized RecommendationsarXiv2024PythonGPT2
Fed4RecLLM-based Federated RecommendationarXiv2024N/ALLaMA
SPARSPAR: Personalized Content-Based Recommendation via Long Engagement AttentionarXiv2024N/ABERT
LLaRALLaRA: Aligning Large Language Models with Sequential Recommendersarxiv2023PythonLlama-2
E4SRecE4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendationarxiv2023PythonLlama-2
LlamaRecLlamaRec: Two-Stage Recommendation using Large Language Models for Rankingarxiv2023PythonLlama-2
CLLM4RecCollaborative Large Language Model for Recommender Systemsarxiv2023PythonGPT2
TransRec
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