English(EN) Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search

新的 meCPM 框架统一了电子商务搜索中拍卖和固定价格商品的排名

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了一个名为边际每千次展示费用（meCPM）的新框架，以优化电子商务搜索排名。该框架统一了固定价格、拍卖和混合拍卖（带立即购买选项）商品的排名。meCPM 方法捕捉了展示价格仍动态变化的商品的展示的增量价值，扩展了传统的 eCPM 模型。该目标的一个实现已成功部署在一个大型电子商务平台上，显示出积极的收入增长和用户指标的改善。 AI

影响通过改进搜索结果排名，增强了电子商务平台的收入优化。

排序理由详细介绍电子商务搜索排名新框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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本文如何被排名

Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 详细介绍电子商务搜索排名新框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
Source corroboration: Single-source cluster; 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: paper, product, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Greg Kocher, Sanjana Arun · 2026-09-03 04:00

电商搜索广告中联合排序拍卖和固定价格列表的边际预期收入

arXiv:2609.01628v1 Announce Type: cross Abstract: E-commerce search ranking must balance multiple objectives--relevance, user engagement, and platform revenue--when allocating impression slots to competing listings. Estimating the expected revenue component is well understood for…

本文如何被排名

报道来源 [1]

电商搜索广告中联合排序拍卖和固定价格列表的边际预期收入

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