Advanced Machine Learning Helps Play Store Users Discover Personalised Apps

We started collaborating with the Play store to help develop and improve systems that determine the relevance of an app with respect to the user. In this post, we'll explore some of the cutting-edge machine learning techniques we developed to achieve this. Today, Google Play's recommendation system contains three main models: a candidate generator, a reranker, and a model to optimise for multiple objectives. The candidate generator is a deep retrieval model that can analyse more than a million apps and retrieve the most suitable ones. For each app, a reranker, i.e. a user preference model, predicts the user's preferences along multiple dimensions.