大语言模型在推荐系统中的应用研究综述

许小颖; 廖文杰; 王瀚林

doi:10.11959/j.issn.2096-0271.2026003

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大语言模型在推荐系统中的应用研究综述

更新时间：2026-02-27

- 大语言模型在推荐系统中的应用研究综述
- Survey on the applications of large language models in recommender systems
- 大数据 2026年页码：1-14
- 作者机构：
  
  华南理工大学工商管理学院，广东广州 510641
- 作者简介：
  
  [ "许小颖（1987- ），男，华南理工大学工商管理学院决策科学系副教授、博士生导师，主要研究方向为个性化推荐、商务智能、区块链应用。" ]
  [ "廖文杰（2002- ），男，华南理工大学工商管理学院硕士生，主要研究方向为推荐系统、大语言模型。" ]
  [ "王瀚林（1996- ），男，华南理工大学工商管理学院博士生，主要研究方向为推荐系统、大语言模型。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(72071083)
- DOI：10.11959/j.issn.2096-0271.2026003
  中图分类号： TP391.1
- 收稿：2025-08-25，
  
  网络首发：2026-02-25，
- 稿件说明：
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许小颖,廖文杰,王瀚林.大语言模型在推荐系统中的应用研究综述[J].大数据,

Xu Xiaoying,Liao Wenjie,Wang Hanlin.Survey on the applications of large language models in recommender systems[J].BIG DATA RESEARCH,
许小颖,廖文杰,王瀚林.大语言模型在推荐系统中的应用研究综述[J].大数据, DOI：10.11959/j.issn.2096-0271.2026003.

Xu Xiaoying,Liao Wenjie,Wang Hanlin.Survey on the applications of large language models in recommender systems[J].BIG DATA RESEARCH, DOI：10.11959/j.issn.2096-0271.2026003.

摘要

大语言模型的兴起为推荐系统带来了新的机遇，但现有研究主要集中在大语言模型推荐系统的技术框架和工程实现上，缺乏对这一交叉领域研究的系统性梳理，尤其是对在推荐系统中结合大语言模型所要解决的研究问题尚不清晰。为此，总结了大语言模型在推荐系统中的主流应用模式，归纳推荐系统生命周期各阶段中的关键问题。同时，探究了大语言模型如何为这些问题提供创新性的解决方案、识别尚未解决的问题，并展望未来的研究方向。

Abstract

The rise of large language model (LLM) has brought new opportunities to recommender systems. However

existing research mainly focuses on the technical frameworks and engineering implementations of LLM-based recommender systems

lacking a systematic review of this interdisciplinary field. In particular

the key research questions that need to be addressed when integrating LLM into recommender systems remain unclear. To this end

the study summarizes the mainstream application patterns of LLM in recommender systems and categorizes the key research issues across various stages of the recommender system lifecycle. Simultaneously

the study investigates how LLM provide innovative solutions to these issues

identifies unresolved problems

and outlines future research directions.

关键词

Keywords

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