Behavior-based Popularity Ranking on Amazon Video

Abstract

With the growth in the number of video streaming services, providers have to strive hard to make relevant content available and keep customers engaged. A good experience would help customers discover new and popular videos to stream with ease. Customer streaming behavior tends to be a strong indicator of whether they found a video engaging. Aggregate customer behavior serves as a useful predictor of popularity. We discuss the use of past streaming behavior to learn patterns and predict a video's popularity using tree ensembles.