English(EN) TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising

快手广告系统通过新的TWICE预测框架提升收入

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-28 08:02

研究人员开发了一个名为TWICE的新框架，以改进在线广告中的长周期转化预测。该方法通过将转化概率与延迟分布分离开来，解决了延迟反馈的挑战。TWICE在快手广告系统的A/B测试中进行了测试，带来了预期收入、收入和转化的显著增长，并促使其全面部署。 AI

影响该框架通过提高长期转化率的预测准确性，可以增强在线广告系统的有效性。

排序理由该集群描述了一篇新的研究论文，详细介绍了一种新颖的转化预测框架，包括实验结果和在实际系统中的部署。[lever_c_demoted from research: ic=1 ai=0.7]

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

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一篇新的研究论文，详细介绍了一种新颖的转化预测框架，包括实验结果和在实际系统中的部署。[lever_c_demoted from research: ic=1 ai=0.7]
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: High; Clearly on-topic for AI-industry coverage.
Story freshness: 71 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Xialong Liu · 2026-07-28 08:02

TWICE：在线广告长周期转化预测的双时钟、双窗口学习

Long-horizon conversion prediction under delayed feedback creates a two-clock, two-window learning problem in online advertising. A short base observation window releases recent clicks on the click clock before their outcomes mature, whereas conversions continue to arrive on the …