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Computer Science > Information Retrieval

arXiv:2412.03577 (cs)
[Submitted on 18 Nov 2024 ]

Title: OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising

Title: OKG:赞助搜索广告中的实时关键词生成

Authors:Zhao Wang, Briti Gangopadhyay, Mengjie Zhao, Shingo Takamatsu
Abstract: Current keyword decision-making in sponsored search advertising relies on large, static datasets, limiting the ability to automatically set up keywords and adapt to real-time KPI metrics and product updates that are essential for effective advertising. In this paper, we propose On-the-fly Keyword Generation (OKG), an LLM agent-based method that dynamically monitors KPI changes and adapts keyword generation in real time, aligning with strategies recommended by advertising platforms. Additionally, we introduce the first publicly accessible dataset containing real keyword data along with its KPIs across diverse domains, providing a valuable resource for future research. Experimental results show that OKG significantly improves keyword adaptability and responsiveness compared to traditional methods. The code for OKG and the dataset are available at https://github.com/sony/okg.
Abstract: 当前赞助搜索广告中的关键词决策依赖于大型静态数据集,这限制了自动设置关键词以及适应实时KPI指标和产品更新的能力,而这些对于有效的广告至关重要。 在本文中,我们提出了即时关键词生成(OKG),这是一种基于大语言模型代理的方法,能够动态监控KPI变化并在实时调整关键词生成,与广告平台推荐的策略保持一致。 此外,我们引入了第一个公开可访问的数据集,包含跨多个领域的实际关键词数据及其KPI,为未来的研究提供了宝贵的资源。 实验结果表明,与传统方法相比,OKG显著提高了关键词的适应性和响应性。 OKG的代码和数据集可在 https://github.com/sony/okg 获取。
Subjects: Information Retrieval (cs.IR) ; Artificial Intelligence (cs.AI)
Cite as: arXiv:2412.03577 [cs.IR]
  (or arXiv:2412.03577v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2412.03577
arXiv-issued DOI via DataCite

Submission history

From: Zhao Wang [view email]
[v1] Mon, 18 Nov 2024 03:02:06 UTC (806 KB)
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