2025-08-08
This paper proposes a hybrid Top-k recommendation system that combines traditional recommendation methods with large language models (LLMs). Users are categorized as "active users" and "weak users," with LLMs employed to improve recommendation accuracy and fairness for the latter group. At the same time, the model controls LLM computational costs to ensure practical feasibility.