Description: Recommender Systems in Fashion and Retail Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Nima Dokoohaki, Shatha Jaradat, Humberto Jesus Corona Pampin, Reza Shirvany Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030661021, 978-3030661021 Synopsis This book includes the proceedings of the second workshop on recommender systems in fashion and retail [tel], 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).
Price: 77.21 GBP
Location: Aldershot
End Time: 2024-12-26T17:12:39.000Z
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Book Title: Recommender Systems in Fashion and Retail
Number of Pages: 160 Pages
Language: English
Publication Name: Recommender Systems in Fashion and Retail
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Engineering & Technology, Computer Science, Business
Item Height: 235 mm
Item Weight: 424 g
Type: Textbook
Author: Reza Shirvany, Nima Dokoohaki, Humberto Jesus Corona Pampin, Shatha Jaradat
Subject Area: Mechanical Engineering
Series: Lecture Notes in Electrical Engineering
Item Width: 155 mm
Format: Hardcover
