Enhancing Personalized Outfit Recommendations with Efficient Fine-Tuning of Large Language Models and Direct Preference Feedback

A novel framework that harnesses the expressive power of large language models (LLMs) for personalized outfit recommendation, mitigating their "black box" and static nature through fine-tuning and direct feedback integration.