Publication
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems, Large Language Models
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Citation
Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, and Qing Li. (2024). Recommender Systems in the Era of Large Language Models (LLMs). IEEE TKDE.
About this work
This survey reviews how language models are used in recommender systems. It covers user and item representations, then organizes methods by pre-training, fine-tuning, and prompting.
The discussion examines how these methods use textual information, adapt to recommendation tasks, and support further research.