Style recommendations from data scientists

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After earning a Ph.D. in psychology and neuroscience here at Duke, Winecoff


spent time teaching before moving over to industry.
Today, Winecoff works as a senior data scientist at True Fit, a company that provides tools to retailers to help them decide what products they suggest to their customers.
True Fit's software relies on collecting data about how clothes fit people who have bought them. With this data on size and type of clothing, True Fit can make size recommendations for a specific consumer looking to buy a certain product.
In addition to recommendations on size, True Fit is behind many sites' recommendations of products similar to those you are browsing or have bought.
While these recommender systems have been shown to work well for sites like Netflix, where you may have watched many different movies and shows in the recent past that can be used to make recommendations, Winecoff points out that this can be difficult for something like pants, which people don't tend to buy in bulk.

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