Recommender Systems in Fashion and Retail

Recommender Systems in Fashion and Retail

von: Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany

Springer-Verlag, 2021

ISBN: 9783030661038 , 160 Seiten

Format: PDF

Kopierschutz: DRM

Windows PC,Mac OSX für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's

Preis: 85,59 EUR

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Recommender Systems in Fashion and Retail


 

This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).