Recommender Systems in Fashion and Retail: Lecture Notes in Electrical Engineering, cartea 734
Editat de Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvanyen Limba Engleză Paperback – 24 mar 2022
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Specificații
ISBN-13: 9783030661052
ISBN-10: 3030661059
Pagini: 160
Ilustrații: V, 160 p. 52 illus., 45 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030661059
Pagini: 160
Ilustrații: V, 160 p. 52 illus., 45 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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).
Caracteristici
Offers the best contributions of the 2nd workshop on recommender systems in fashion and retail, held in 2020 Presents a state-of-the-art view of recommender systems for e-commerce Provides readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field