Rec4Dish: a menu recommender trained on real restaurant orders
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A menu recommender that beat the random baseline 3.5× and held cold-start users at parity, built on order data during an MSc thesis at Padua.
Thesis
Work from my MSc thesis at the University of Padua, built during the Dishup internship.