时尚推荐系统研讨会(fashionXrecsys2019)

Shatha Jaradat, Nima Dokoohaki, Humberto Jesús Corona Pampín, Reza Shirvany
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引用次数: 5

摘要

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。在这种情况下,推荐系统通常用于解决不同的复杂问题,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。然而,对这些复杂问题的研究相对较少。首届fashionXrecsys研讨会旨在通过提供一个讨论时尚和电子商务应用中推荐的新方法的途径来解决这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Workshop on recommender systems in fashion (fashionXrecsys2019)
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 scenario, such as social fashion-aware recommendations (outfits inspired by influencers), product recommendations, or size and fit 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.
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