1
Diagnosing and Mitigating Retrieval Bottlenecks in LLM-Based Cold-Start Recommendation
一项针对LLM冷启动推荐中检索瓶颈的系统性研究，提出诊断方法与缓解策略，为提升推荐系统长效性能提供新思路。
arXiv:2606.29947v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as rerankers in recommender systems, with the exp…