Pinterest engineering blog

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  • Feb 7, 2017
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Introducing the future of visual discovery on Pinterest

Dmitry Kislyuk

Dmitry Kislyuk is the engineering manager of the Visual Search team

Our mission at Pinterest is to help you discover and do things you love. Under the hood, we’re powering a visual discovery engine with 100B ideas saved by 150M people around the world. Today we’re introducing three new visual discovery products–Lens, Instant Ideas and Shop the Look–that turn any image into an entry point to finding more ideas. 

Pinterest engineering blog

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  • Jan 12, 2017
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Applying deep learning to Related Pins

Kevin Ma

Kevin Ma is a software engineer on the Discovery team

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.

Pinterest engineering blog

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  • May 28, 2015
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Building a scalable machine vision pipeline

Kevin Jing

Kevin is an engineering manager on the Visual Discovery team. He previously founded Visual Graph, a company acquired by Pinterest in January 2014.

Discovery on Pinterest is all about finding things you love, even if you don’t know at first what you’re looking for. The Visual Discovery engineering team at Pinterest is tasked with building technology that will help people to continue to do just that, by building technology that understands the objects in a Pin’s image to get an idea of what a Pinner is looking for.

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