An Experimentation Engine for Data-Driven Fashion Systems

Data-driven fashion systems of the future will revolutionize the way consumers shop for clothing and choose outfits: imagine an automated personal stylist that ships clothes straight to your door based on their compatibility with your existing wardrobe, the upcoming events on your calendar, and style trends learned from the web. To build such systems, we must identify the fashion activities that are the largest consumer pain points, the interventions necessary to alleviate those pains, and the computational models that enable those

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