An Ad-Driven Measurement Technique for Monitoring the Browser Marketplace

An Ad-Driven Measurement Technique for Monitoring the Browser Marketplace
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用于监控浏览器市场的广告驱动测量技术

DOI:
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发表时间:
2019
期刊:
影响因子:
3.9
通讯作者:
Áangel Cuevas
Áangel Cuevas
中科院分区:
计算机科学3区
文献类型:
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作者:
Patricia Callejo;R. Cuevas;Áangel Cuevas

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在本文中,我们提出了一种新的主动测量方法来监测浏览器市场格局。它利用通过在线广告活动提供的显示广告来收集接收广告的浏览器品牌和设备版本。在提供与基于被动测量的传统技术类似的准确性的同时,我们的方法提供了一些优势:<inline-formula><tex-math notation="LaTeX">$(i)$</tex-math></inline-formula>对于有兴趣测量浏览器市场的研究人员和从业人员来说,进入门槛较低;<inline-formula><tex-math notation="LaTeX">$(ii)$</tex-math></inline-formula>它允许有针对性的测量,这对于修复数据样本中的偏差或分析浏览器市场的特定方面非常有用。我们通过真实的实验分析了我们方法的性能、准确性和能力,这些实验总共产生了超过600万个测量结果。
In this paper we present a novel active measurement methodology for monitoring the browser market landscape. It leverages the display ads delivered through online advertising campaigns to collect the browser brand and version of the device receiving the ad. While providing a similar accuracy to traditional techniques based on passive measurements, our methodology offers some advantages: <inline-formula> <tex-math notation="LaTeX">$(i)$ </tex-math></inline-formula> a lower entry barrier for researchers and practitioners interested in measuring the browser marketplace; <inline-formula> <tex-math notation="LaTeX">$(ii)$ </tex-math></inline-formula> it allows targeted measurements, which can be useful to fix biases in the data sample or to analyze specific aspects of the browser market. We analyze the performance, accuracy, and capabilities of our methodology through real experiments that overall produced more than 6M measurements.