Powered by AI: Instagram’s Explore recommender system

Over half of the Instagram community visits Instagram Explore every month to discover new photos, videos, and Stories relevant to their interests. Recommending the most relevant content out of billions of options in real time at scale introduces multiple machine learning (ML) challenges that require novel engineering solutions. We tackled these challenges by creating a series of custom query languages, lightweight modeling techniques, and tools enabling high-velocity experimentation. These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key elements that make Explore work, and how we provide personalized content for people on Instagram. Before we could execute on building a recommendation engine that tackle

Over half of the Instagram community visits Instagram Explore every month to discover new photos, videos, and Stories relevant to their interests. Recommending the most relevant content out of billions of options in real time at scale introduces multiple machine learning (ML) challenges that require novel engineering solutions. We tackled these challenges by creating a series of custom query languages, lightweight modeling techniques, and tools enabling high-velocity experimentation. These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions r