An Overview of Statistical Challenges in Online Controlled Experiments
Conference
64th ISI World Statistics Congress
Format: IPS Abstract
Keywords: experimental-design
Session: IPS 78 - Statistical Challenges in Computational Advertising
Monday 17 July 4 p.m. - 5:25 p.m. (Canada/Eastern)
Abstract
The rise of internet-based services and products in the late 1990's brought about an unprecedented opportunity for online businesses to engage in large scale data-driven decision making. Over the past two decades, organizations such as Airbnb, Alibaba, Amazon, Baidu, Booking, Alphabet's Google, LinkedIn, Lyft, Meta's Facebook, Microsoft, Netflix, Twitter, Uber, and Yandex have invested tremendous resources in online controlled experiments (OCEs) to assess the impact of innovation on their customers and businesses. Running OCEs at scale has presented a host of challenges requiring solutions from many domains. In this talk we discuss the practice and culture of online experimentation, and we review practical challenges that require new statistical methodologies to address them. The goal is to raise academic statisticians' awareness of these new research opportunities so as to increase collaboration between academia and the online industry.