Pinterest Is Using Machine Learning To Help You Find What You’ll Pin Next

With 100 million users active on its platform every month, Pinterest is increasingly relying on machine learning to help guide the company to new online discoveries. People come to Pinterest to explore, save, and share images and posts from around the internet. Finding content they like naturally keeps them engrossed in the platform: The company says 30% of engagement and 25% of in-Pinterest purchases are driven by the platform’s recommendations of related content. To get those recommendations right, the company relies on cutting-edge, data-driven techniques and lots of experimentation. “A lot of what I”m doing here is trying to shape what direction we go in approaching the discovery problem,” says Pinterest’s lead discovery science engineer Mohammad Shahangian. “We launch hundreds of experiments that actually make small changes to our algorithms,…


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