A recommendation engine is a big investment — with a potentially huge payoff. In fact, Netflix values its recommendation engine at $1 billion per year.

In this video, Data Scientist Tuck Ngun discusses the problems that recommendation engines solve and the benefits they provide. He also explains how internet businesses are using content-based filtering and collaborative filtering recommendation systems to surface the right content to the right customers at the right time, boosting customer engagement as well as retention.

Read Dr. Ngun's full white paper to learn how to implement the right recommendation engine for your organization.