Best Buy Releases ‘Like for Like’ Metis API

Best Buy has now released its previously announced “Like for Like” Metis API: “BBY Open and the Metis project team are excited to announce the release of our semantically-driven ‘Like for Like’ endpoint, available now for public consumption. Like for like functionality is defined as: “for any given game, software, or hardgood SKU, display the products most like it, ordered by the number of product attributes that match’.” Read more




Jay Myers at Best Buy has been working with semantic technologies for a number of years.
The 
Online advertising that leverages semantic technology is expanding to the do-it-yourself model.
Jay Myers, lead web development engineer at
Well, in just the last week he’s been stoking the semantic data foundation – pushing Best Buy’s product visibility and discovery further along with the help of RDFa and pulling in some semantic data too, all geared to building up what he calls the company’s Insight Engine. And there’s more coming soon, as Myers’ has a personal agenda of stretching RDFa just about as far as he can in Best Buy product pages. “My goal is to make our web site as data- rich as possible while preserving the front-end user experience we have now,” he says. “It’s totally possible and I think we achieved that so far.”

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