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English(EN) LLP: LLM-Based Product Pricing in E-commerce

基于LLM的定价框架已在闲鱼部署,提高了采用率

研究人员开发了LLP,一个用于在eBay等电商平台上为二手产品定价的新型框架。与传统的静态回归模型不同,LLP利用大型语言模型(LLMs)来更好地理解市场动态和自由文本描述,从而提供更准确的定价建议。该系统采用了两阶段优化过程,包括监督微调和组相对策略优化,并已成功部署在中国最大的二手电商平台闲鱼上,显著提高了采用率。 AI

影响 这项研究展示了LLM在电商动态定价方面的实际应用,有望提高卖家和平台的效率。

排序理由 该项目是一篇研究论文,详细介绍了基于LLM的产品定价新框架,包括实验结果和在真实平台上的部署。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

基于LLM的定价框架已在闲鱼部署,提高了采用率

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23 / 100
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该项目是一篇研究论文,详细介绍了基于LLM的产品定价新框架,包括实验结果和在真实平台上的部署。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, paper
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Hairu Wang, Sheng You, Qiheng Zhang, Xike Xie, Shuguang Han, Yuchen Wu, Fei Huang, Jufeng Chen ·

    LLP:电商领域基于大语言模型的产品定价

    arXiv:2510.09347v2 Announce Type: replace Abstract: Unlike Business-to-Consumer e-commerce platforms (e.g., Amazon), inexperienced individual sellers on Consumer-to-Consumer platforms (e.g., eBay) often face significant challenges in setting prices for their second-hand products …