Being Smart with Art: Classical recommendation systems focus on deciding which items (movies at Netflix) to recommend to the user. A complementary problem is learning from data how to present the items to the user in an attractive way that will facilitate high-quality engagement. We will explore in this talk some aspects of this challenge at Netflix and other companies, with a focus on image selection: learning from data which images to use to represent movies.
Session Summary
Being Smart with Art
MLconf 2016 San Francisco