Fourth Workshop on Recommender Systems in Fashion and Retail – fashionXrecsys2022

Reza Shirvany, Humberto Jesús Corona Pampín
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Abstract

Online Fashion retailers have significantly 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 different complex problems in this domain, such as social fashion-aware recommendations (outfits inspired by influencers), product recommendations, or size and fit recommendations. Moreover, the research interest on this area is increasing, demonstrated by the success of the past three editions of the fashionXrecsys Workshops 2019-21. The Fourth edition of the workshop aims at providing an avenue for continuing the discussion of novel approaches and applications of recommendation systems in fashion and e-commerce with a particular focus on pandemic era events and their short and long lasting effects on e-commerce and Fashion.
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第四届时尚与零售推荐系统研讨会- fashionXrecsys2022
在过去的十年里,在线时尚零售商的受欢迎程度显著提高,这使得消费者可以在不需要逛多家商店或排长队结账的情况下探索数十万种产品。推荐系统通常用于解决该领域的各种复杂问题,例如社会时尚意识推荐(受影响者启发的服装),产品推荐或尺寸和合身推荐。此外,对这一领域的研究兴趣正在增加,过去三届fashionXrecsys研讨会2019-21的成功证明了这一点。第四届讲习班的目的是提供一个途径,继续讨论时尚和电子商务中推荐系统的新方法和应用,特别侧重于大流行时代的事件及其对电子商务和时尚的短期和长期影响。
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