Top Challenges from the first Practical Online Controlled Experiments Summit

Somit Gupta, Ron Kohavi, Diane Tang, Ya Xu
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引用次数: 101

Abstract

Online controlled experiments (OCEs), also known as A/B tests, have become ubiquitous in evaluating the impact of changes made to software products and services. While the concept of online controlled experiments is simple, there are many practical challenges in running OCEs at scale. To understand the top practical challenges in running OCEs at scale and encourage further academic and industrial exploration, representatives with experience in large-scale experimentation from thirteen different organizations (Airbnb, Amazon, Booking.com, Facebook, Google, LinkedIn, Lyft, Microsoft, Netflix, Twitter, Uber, Yandex, and Stanford University) were invited to the first Practical Online Controlled Experiments Summit. All thirteen organizations sent representatives. Together these organizations have tested more than one hundred thousand experiment treatments last year. Thirty-four experts from these organizations participated in the summit in Sunnyvale, CA, USA on December 13-14, 2018. While there are papers from individual organizations on some of the challenges and pitfalls in running OCEs at scale, this is the first paper to provide the top challenges faced across the industry for running OCEs at scale and some common solutions.
第一届实用在线控制实验峰会的主要挑战
在线控制实验(OCEs),也被称为A/B测试,在评估对软件产品和服务所做的更改的影响方面已经变得无处不在。虽然在线控制实验的概念很简单,但在大规模运行OCEs时存在许多实际挑战。为了了解大规模运行OCEs面临的最大实际挑战,并鼓励进一步的学术和工业探索,来自13个不同组织(Airbnb、亚马逊、Booking.com、Facebook、谷歌、LinkedIn、Lyft、微软、Netflix、Twitter、Uber、Yandex和斯坦福大学)的具有大规模实验经验的代表被邀请参加第一届实用在线控制实验峰会。所有13个组织都派了代表。去年,这些组织总共测试了10万多种实验疗法。来自这些组织的34位专家参加了2018年12月13日至14日在美国加利福尼亚州森尼维尔市举行的峰会。虽然个别组织已经发表了一些论文,讨论了大规模运行OCEs的一些挑战和缺陷,但本文是第一篇提供了整个行业在大规模运行OCEs时面临的主要挑战和一些通用解决方案的论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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