Recommender Systems in Fashion and Retail

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Lecture Notes in Electrical Engineering 734

ISBN: 3030661024
ISBN 13: 9783030661021
Herausgeber: Nima Dokoohaki/Shatha Jaradat/Humberto Jesús Corona Pampín et al
Verlag: Springer Verlag GmbH
Umfang: v, 160 S., 7 s/w Illustr., 45 farbige Illustr., 160 p. 52 illus., 45 illus. in color.
Erscheinungsdatum: 24.03.2021
Auflage: 1/2021
Produktform: Gebunden/Hardback
Einband: GEB

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).

Artikelnummer: 251634 Kategorie:

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