Kavli Affiliate: Jing Wang | First 5 Authors: Hongke Zhao, Songming Zheng, Likang Wu, Bowen Yu, Jing Wang | Summary: The explainability of recommendation systems is crucial for enhancing user trust and satisfaction. Leveraging large language models (LLMs) offers new opportunities for comprehensive recommendation logic generation. However, in existing related studies, fine-tuning LLM models for […]
Continue.. LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation