RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation

ArXi:2605.07129v1 Announce Type: cross Large Language Models (LLMs) have emerged as a promising paradigm for next-generation recommender systems, offering strong semantic understanding and natural-language reasoning abilities. Despite recent progress, current LLM-based recommenders still face key challenges in constructing decision-relevant contexts from heterogeneous evidence.