English(EN) Balancing Trial and Reorder: A Hybrid Sequential Transformer-GBDT Ranker for On-Demand Delivery

Wolt部署混合Transformer-GBDT排序器以促进店铺试用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-16 04:00

研究人员为配送平台Wolt开发了一个名为通用场馆排序器（UVR）的新混合排序系统。UVR结合了用于用户建模的Transformer编码器和用于整合各种特征并强制执行本地配送约束的GBDT排序器。该统一系统取代了之前的四个排序模型，旨在平衡新店铺的试用推广与复购会话的质量维护。虽然UVR在离线测试中将试用率提高了高达30%，但它导致了复购指标的回归，导致整体转化率在统计学上没有变化。然而，随后的A/B测试显示商户试用率和全球转化率有所提高，带来了显著的增量订单价值和简化的服务基础设施。 AI

影响这种混合排序方法可以为寻求在推荐系统中平衡发现与留存的其他平台提供参考。

排序理由详细介绍一种用于特定行业应用的新混合排序模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 详细介绍一种用于特定行业应用的新混合排序模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Marcel Kurovski, Attila Nagy, Steffen Klempau, Aleksandr Fedintsev · 2026-09-16 04:00

平衡试用与重排：一种用于按需配送的混合顺序Transformer-GBDT排序器

arXiv:2609.16407v1 Announce Type: cross Abstract: On a delivery platform, personalized store ranking greatly influences what users find and order. Unlike digital-only domains, candidate stores are local and bound by real-time availability and delivery operations. One central mode…

本文如何被排名

报道来源 [1]

平衡试用与重排：一种用于按需配送的混合顺序Transformer-GBDT排序器

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