LLM4Rec: A Comprehensive Survey on the Integration of Large Language Models in Recommender Systems—Approaches, Applications and Challenges

LLM4Rec: A Comprehensive Survey on the Integration of Large Language Models in Recommender Systems—Approaches, Applications and Challenges

The synthesis of large language models (LLMs) and recommender systems has been a game-changer in tailored content onslaught with applications ranging from e-commerce, social media, and education to health care. This survey covers the usage of LLMs for content recommendations (LLM4Rec). LLM4Rec has o...

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Bibliographic Details
Main Authors: Sarama Shehmir, Rasha Kashef
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Future Internet
Subjects:
large language models (LLMs)
recommendation systems
LLM4Rec
generative models
discriminative models
Transformer architecture
Online Access:https://www.mdpi.com/1999-5903/17/6/252
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