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Recommender Systems in Fashion and Retail

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Recommender Systems in Fashion and Retail/ edited by Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany.
other author:	Dokoohaki, Nima.
Description:	V, 160 p. 52 illus., 45 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-030-66103-8
ISBN:	9783030661038

Recommender Systems in Fashion and Retail
Recommender Systems in Fashion and Retail[electronic resource] /edited by Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany. - 1st ed. 2021. - V, 160 p. 52 illus., 45 illus. in color.online resource. - Lecture Notes in Electrical Engineering,7341876-1119 ;. - Lecture Notes in Electrical Engineering,317.

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.

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). .

ISBN: 9783030661038

Standard No.: 10.1007/978-3-030-66103-8doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Recommender Systems in Fashion and Retail
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