Recommender Systems in Fashion and Retail

Lieferzeit: Lieferbar innerhalb 14 Tagen

85,59 

Lecture Notes in Electrical Engineering 734

ISBN: 3030661059
ISBN 13: 9783030661052
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: 24.03.2022
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert

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: 5237080 Kategorie:

Beschreibung

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).  

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …