Speed Up Feature Engineering for Recommendation Systems

At Snap, we have a strong focus on user experience and have built many ML applications to surface the right content to our users. Historically, our engineers have spent a significant amount of time working with features. We’ve found that by automating the creation and consumption of a few common features types, we can simplify the majority of feature engineering work. This provides an opportunity for building a general-purpose feature platform that benefits many business critical ML use cases.