Recommender Systems in Fashion and Retail

Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín , Reza Shirvany

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English

Springer Nature Switzerland AG
24 March 2022

Materials science; Business applications; Data mining; Artificial intelligence; Computer vision

Series: Lecture Notes in Electrical Engineering

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).

Edited by: Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2021
Volume: 734
Dimensions: Height: 235mm, Width: 155mm,
Weight: 267g
ISBN: 9783030661052
ISBN 10: 3030661059
Series: Lecture Notes in Electrical Engineering
Pages: 160
Publication Date: 24 March 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Chapter 1. The Importance of Brand Aﬃnity in Luxury Fashion Recommendations.- Chapter 2. Probabilistic Color Modelling of Clothing Items.- Chapter 3. User Aesthetics Identiﬁcation for Fashion Recommendations.- Chapter 4. Towards User-in-the-Loop Online Fashion Size Recommendation with Low Cognitive Load.- Chapter 5. Attention Gets You the Right Size and Fit in Fashion.- Chapter 6. The Ensemble-Building Challenge for Fashion Recommendation.- Chapter 7. Outﬁt Generation and Recommendation – An Experimental Study.- Chapter 8. Understanding Professional Fashion Stylists' Outfit Recommendation Process.