Kaidong Feng

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation

Emerging advancements in large language models (LLMs) show significant potential for enhancing recommendations. However, prompt-based methods often struggle to find ideal prompts without task-specific feedback, while fine-tuning-based methods are hindered by high computational demands and dependence…