Recommender Systems in Fashion and Retail (Lecture Notes in Electrical Engineering, Band 734) - Softcover

Softcover

ISBN 10: 3030661059 ISBN 13: 9783030661052

Verlag: Springer, 2022

Inhaltsangabe

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).  

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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).  

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 3030661059
• ISBN 13: 9783030661052
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 168
• Herausgeber: Dokoohaki Nima, Jaradat Shatha, Corona Pampín Humberto Jesús, Shirvany Reza
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland