Applying deep learning to Related Pins

One of the most popular ways people find ideas on Pinterest is through Related Pins, an item-to-item recommendations system that uses collaborative filtering. Previously, candidates were generated using board co-occurrence, signals from all the boards a Pin is saved to. Now, for the first time, we're applying deep learning to make Related Pins even more relevant. Ultimately, we developed a scalable system that evolves with our product and people's interests, so we can surface the most relevant recommendations through Related Pins. In this post, we'll cover how we use deep learning to generate recommendation candidates, which, in testing, has increased engagement with Related Pins by 5 percent.