ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce Reranker

• 类型：arxiv
• 标识：2609.31002
• 链接：https://arxiv.org/abs/2609.31002
• 主分类：rag
• 形态：method
• TLDR：Open rerankers trained for general web retrieval transfer imperfectly to e-commerce, where ranking decisions depend not only on topical relevance but also on user preferences, product constraints, and comparative product fit. These preference signals are difficult to supervise at scale: real search traffic provides authentic queries and candidates but no clean pairwise labels. We present ZooWork-ShopRanker, a family of e-commerce rerankers (0.6B, 4B, and 8B) aligned to judge-labeled shopping preference. Training pairs are labeled by a panel of reasoning large language models (LLMs) from differ
• 待LLM分类：否
• 来源文件：
• /inbox/tom/_candidates/2026-09-28-agent-rag-longcontext-candidates.json