It’s About Time
published: Sept. 5, 2016, recorded: August 2016, views: 1503
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
This talk will explore how time - and timing - impact Netflix’s data science applications. Netflix enables stories from around the world to be discovered, enjoyed, and shared globally. Success in this space means finding and creating the right movies and TV shows, connecting them with the cultures and people who will enjoy them, and delivering a high-quality video streaming experience. As we lean on data science to help in these areas, the specific manner in which time is handled can impact results dramatically. I will share examples of how Netflix incorporates time in algorithm training, feature engineering, A/B test execution, and measurement of member behaviors.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !