English(EN) CASH: A Capability-Aware Subsidy Harness for Advertiser Subsidy Allocation

新的CASH系统利用LLM将广告收入提升15%

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-29 02:59

一个名为CASH的新系统已被开发出来，用于优化广告平台上的广告商补贴分配。CASH结合了知识引导的大型语言模型和数据驱动的数值响应模型，以从过去的成果中学习，并在个体账户层面分配补贴。一项在线实验表明，与对照组相比，CASH将每账户收入提高了15.35%，将ADVV提高了19.86%，同时保持了相似的补贴率。 AI

影响该系统展示了LLM如何与数值模型集成以优化业务流程，从而可能提高广告平台的效率和收入。

排序理由该条目是一篇发表在arXiv上的研究论文，详细介绍了一种新的广告商补贴分配系统。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Fei Pan · 2026-10-29 02:59

CASH：一种能力感知型广告商补贴分配的补贴机制

Advertising platforms subsidize advertisers through billing discounts, and Advertiser Subsidy Allocation (ASA) chooses a subsidy level for every account to maximize total discounted revenue under a platform-wide subsidy-rate constraint. In practice, operators configure these subs…

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CASH：一种能力感知型广告商补贴分配的补贴机制

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