Lunch will be served from 12:30-1pm, on a first-come, first served basis. The talk will begin promptly at 1pm.
Abstract: Google Search is one of the most widely used data products in the world. While it has been in constant development since 1997, Search is by no means a solved problem. Even the question of what a good set of search results for a query has a constantly evolving answer. Dr. Stanton’s talk will focus on some of the challenges Search faces - defining quality metrics, dealing with noisy and sparse data, design choices for a data system at this scale, as well as what to do when you just don't like the output of a system.
Isabelle Stanton is a Staff Software Engineer at Google where she has worked on Search Quality for the past 5 years. Her projects have ranged from In-Depth Article search to improving search results by understanding the user's context. She has also worked on quality evaluation, and Search performance optimization. Dr. Stanton earned her PhD in Computer Science from UC Berkeley in 2012 in graph algorithms.
**This event is free and open to the public; no registration required.**