LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems 事件

LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems arXiv:2606.02883v1 Announce Type: cross Abstract: Recommender systems have grown from content-organization tools into sophisticated systems that shape daily behavior. By controlling what we see, they shape what we perceive, raising concerns about filter bubbles, radicalization, polarization, and social inequality. Large language models (LLMs) enable more powerful personalization, intensifying these dynamics. Yet