In this challenge, we provide a data set from our large-scale recommendation system, which serves billions of recommendations per day. Each row represents an event of recommendation and contains information about the user, the context, and the recommended item. The rows are labeled as clicked/ not clicked. Your task is to build a model that predicts if a user will click on an item.