大语言模型在推荐系统中的应用研究综述OA

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.