From the course: Artificial Intelligence Case Studies in Different Business Industries

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Tech: How Pinterest uses machine learning to deepen user engagement

Tech: How Pinterest uses machine learning to deepen user engagement

From the course: Artificial Intelligence Case Studies in Different Business Industries

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Tech: How Pinterest uses machine learning to deepen user engagement

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- Pinterest, the San Francisco based visual discovery platform uses machine learning to serve up the right content to its members from more than 250 billion options. If you're not familiar with Pinterest, it works like this. Users go to pinterest.com or its mobile app to get ideas, plan, and shop. The ideas cover a massively wide gamut, recipes, fashion, home improvement, travel, and lots more. Users navigate Pinterest via browsing through images and saving what they love via pins and virtual boards. Users can also create pins and save them on their boards. Pinterest currently has 450 million monthly active users worldwide, and the number of pins exceeds 250 billion. Given the large user base, the large and rapidly growing number of pins, and intense focus on personalization, Pinterest has developed and deployed a family of machine learning models. Let's look at two of the more important ones. According to Jure Leskovec…

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