MemRerank: Preference Memory for Personalized Product Reranking
arXiv:2603.29247v2 Announce Type: replace
Abstract: LLM-based shopping agents increasingly rely on long purchase histories and multi-turn interactions for personalization, yet naively appending raw history to prompts is often ineffective due to noise,…