用AI实时生成广告关键词，自动适配效果指标变化
OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising
- 基于大模型代理动态监控广告指标，实时生成关键词
- 相比传统方法，关键词响应速度提升显著，适应性更强
- 首次公开跨领域真实关键词与指标数据集，支持研究复现
当前赞助式搜索广告中的关键词决策依赖于大规模静态数据集，难以自动设置关键词并实时响应关键绩效指标（KPI）变化及产品更新，影响广告效果。本文提出一种基于大语言模型代理的在线关键词生成方法（OKG），可实时监测KPI变动，并动态调整关键词生成策略，与广告平台推荐方案对齐。此外，我们发布了首个公开可用的真实关键词数据集，涵盖多个领域的关键词及其对应的KPI数据，为后续研究提供宝贵资源。实验表明，相较于传统方法，OKG在关键词适应性和响应速度上均有显著提升。OKG代码与数据集已开源：https://github.com/sony/okg。
原文摘要 · Abstract (English)
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.
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