It helps you find products with specific criteria. Now imagine 35 billion of those - that’s how many product listings are stored in the Shopping Graph. Take, for example, Clinique’s Even Better Foundation in the shade “Spice,” which is sold at Sephora’s Fifth Avenue store in New York City. Listings show products and their sellers, and they’re updated constantly - either through information retailers share directly via Google Merchant Center or from what retailers and brands post across the web. Machine learning powers the Shopping Graph, but it needs a lot of content to bring you the results you’ve come to expect from Google. It houses more than 35 billion product listings (and counting). If this sounds familiar, it’s because the Shopping Graph is a similar model to our Knowledge Graph, Google’s database of facts about people, places and things. It stores billions of global product listings (more on that next), plus specific information about those products - like availability, reviews from other shoppers, pros and cons, materials, colors and sizes. The Shopping Graph is our ML-powered, real-time data set of the world’s products and sellers. The Shopping Graph is the ultimate shopping data set. Here are four things to know about the Shopping Graph and how it helps you find what you’re looking for: 1. And it’s all thanks to the Shopping Graph, our data set of the world’s shopping information powered by machine learning. Whether it’s a simple or complex search, Google sorts through a vast set of products to help you make the perfect purchase. We rarely think about the technology working behind the scenes in those moments. Another day you might need to do more research, like finding inspiration for a new sofa. One day you might need something basic, like a bar of soap or paper towels. We all shop online, but how and what we each shop for is different.
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