Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years

13/08/2015 - 13:30
13/08/2015 - 14:30
Seminar Topic: 
Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years
Speaker: 
Ronny Kohavi
Abstract: 

The Internet provides developers of connected software, including web sites, applications, and devices, an unprecedented opportunity to accelerate innovation by evaluating ideas quickly and accurately using trustworthy controlled experiments (e.g., A/B tests and their generalizations). From front-end user-interface changes to backend recommendation systems and relevance algorithms, from search engines (e.g., Google, Microsoft’s Bing, Yahoo) to retailers (e.g., Amazon, eBay, Netflix, Etsy) to social networking services (e.g., Facebook, LinkedIn, Twitter) to Travel services (e.g., Expedia, Airbnb, Booking.com) to many startups, online controlled experiments are now utilized to make data-driven decisions at a wide range of companies. While the theory of a controlled experiment is simple, and dates back to Sir Ronald A. Fisher’s experiments at the Rothamsted Agricultural Experimental Station in England in the 1920s, the deployment and mining of online controlled experiments at scale (e.g., hundreds of experiments run every day at Bing) and deployment of online controlled experiments across dozens of web sites and applications has taught us many lessons. We provide an introduction, share real examples, key lessons, and cultural challenges.

Speaker's biography: 

Ronny Kohavi is a Microsoft Distinguished Engineer and the General Manager for Microsoft’s Analysis and Experimentation team at Microsoft. He joined Microsoft in 2005 and founded the Experimentation Platform team in 2006. He was previously the director of data mining and personalization at Amazon.com, and the Vice President of Business Intelligence at Blue Martini Software, which went public in 2000, and later acquired by Red Prairie. Prior to joining Blue Martini, Kohavi managed MineSet project, Silicon Graphics’ award-winning product for data mining and visualization. He joined Silicon Graphics after getting a Ph.D. in Machine Learning from Stanford University, where he led the MLC++ project, the Machine Learning library in C++ used in MineSet and at Blue Martini Software. Kohavi received his BA from the Technion, Israel. He was the General Chair for KDD 2004, co-chair of KDD 99’s industrial track with Jim Gray, and co-chair of the KDD Cup 2000 with Carla Brodley. He was an invited speaker at the National Academy of Engineering in 2000, a keynote speaker at PAKDD 2001, an invited speaker at KDD 2001’s industrial track, a keynote speaker at EC 2010 and at Recsys 2012. His papers have over 26,000 citations and three of his papers are in the top 1,000 most-cited papers in Computer Science.

Location: 

School of IT, Board Room
Level 1
School of IT Building
The University of Sydney

Location Details: 

FURTHER INFORMATION
School of IT Reception
T: +61 2 9351 3423
E: sit.reception@sydney.edu.au