Over the past 7 years, we’ve built an extensive Universal Product Catalog, by curating and understanding public data from across the public e-commerce web. This includes information about 100s of millions of products, ~1000 standardized attribute types, billions of attribute values and tens of billions of pricing and ranking signals.

Now, as part of our latest research initiative, we’ve built an Ecommerce Knowledge Graph to harness the value of the relationships between the entities in our datasets. At the core of this graph is the set of relationships between the structured attributes that describe products in the catalog; the graph is also layered with the billions of relationships between products themselves through characteristics like shoppability, browsability and compatibility.

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