Recommender Systems in Fashion and Retail (Paperback, 1st ed. 2021)

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).

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Electrical Engineering, 734
Release date:	March 2022
First published:	2021
Editors:	Nima Dokoohaki • Shatha Jaradat • Humberto Jesus Corona Pampin • Reza Shirvany
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	160
Edition:	1st ed. 2021
ISBN-13:	978-3-03-066105-2
Categories:	Books > Computing & IT > Computer software packages > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-03-066105-9
Barcode:	9783030661052

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