GlassesUSA.com deploys a deep learning algorithm to adapt its recommendations to each shopper

Home to private label brands as well as over 60 designer names, GlassesUSA.com understands the difficulty of finding the perfect pair of eyewear among thousands of styles available in its catalog. Prioritizing ease of discovery, recommendations are a major component of its eCommerce site, running across various pages to better facilitate the buying process, including the homepage, which represents the initial point of entry for most online shoppers. Looking to maximize the performance of its product recommendations there, the team required a solution that could.

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GlassesUSA.com deploys a deep learning algorithm to adapt its recommendations to each shopper

@ Mastercard

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