Announcing: Best Buy Product Catalog via Semantic Endpoints
A new resource has been announced on Best Buy’s BBYOpen blog: Metis Alpha. Like Best Buy’s earlier forays into Semantic Web use, this one started with a business problem. As the announcement states: “These days, consumers have a rich variety of products available at their fingertips. A massive product landscape has evolved, but sadly products in this enormous and rich landscape often get flattened to just a price tag. Over time, it seems the product value proposition, variety, descriptions, specifics, and details that make up products have all but disappeared. This presents consumers with a ‘paradox of choice’ where misinformed decisions can lead to poor product selections, and ultimately product returns and customer remorse.”



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Jay Myers, Lead Web Development Engineer at BestBuy, has moved the proverbial ball forward yet again by creating an implementation of the schema.org vocabulary in BestBuy’s Black Friday web pages.
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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