RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
RRCM is a framework for LLM-based recommendations that learns when and what evidence to retrieve from collaborative user histories and item metadata. Instead of always retrieving data, it uses reinforcement learning based on final recommendation quality to decide if additional context is needed, significantly improving efficiency by being selective about which memories to use.