Industry Session 1: Mainstream

Date: Wednesday, Oct 8, 14:45-16:00

xu

A/B Testing: Innovation @ Internet Scale

by Ya Xu (LinkedIn)

A/B testing is at the core of future innovations for recommender systems. Building an A/B platform that properly sets up, manages experiments, and produces trustworthy results at large scale is challenging already. It is even more difficult to make sure that conclusions drawn are meaningful, reproducible and stable over time. In this talk, we will focus on several challenges we have encountered and solutions we have developed as LinkedIn embraces A/B testing as the driver for innovation.

Ya has been working in the domain of online A/B testing for over 4 years. She currently leads a team of engineers and data scientists building a world-class online A/B testing platform @ LinkedIn. She also spearheads taking LinkedIn’s A/B testing culture to the next level by evangelizing best practices and pushing for broad-based platform adoption. Before LinkedIn, she worked at Microsoft Bing. She holds a PhD in Statistics from Stanford University.

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