Workshop on recommender systems in fashion (Fashionxrecsys2019)

Abstract

Online Fashion retailers have signifcantly increased in popularity over the last decade, making it possible for customers to explore hundreds of thousands of products without the need to visit multiple stores or stand in long queues for checkout. Recommender Systems are often used to solve diferent complex problems in this scenario, such as social fashion-aware recommendations (outfts inspired by infuencers), product recommendations, or size and ft recommendations. However, relatively little research has been done on these complex problems. The very First fashionXrecsys Workshop aims at addressing these issues by providing a avenue for discussing novel approaches to recommendations in fashion and e-commerce applications.