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Recommender systems in fashion and r...

Dokoohaki, Nima.

Recommender systems in fashion and retail

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recommender systems in fashion and retailedited by Nima Dokoohaki ... [et al.].
other author:	Dokoohaki, Nima.
Published:	Cham :Springer International Publishing :2021.
Description:	v, 160 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Recommender systems (Information filtering)
Online resource:	https://doi.org/10.1007/978-3-030-66103-8
ISBN:	9783030661038$q(electronic bk.)

Recommender systems in fashion and retail
Recommender systems in fashion and retail[electronic resource] /edited by Nima Dokoohaki ... [et al.]. - Cham :Springer International Publishing :2021. - v, 160 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v.7341876-1100 ;. - Lecture notes in electrical engineering ;v.132..

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$q(electronic bk.)

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

310886
Recommender systems (Information filtering)

LC Class. No.: Q325.5 / .R436 2021

Dewey Class. No.: 025.04

Recommender systems in fashion and retail
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505 0 $a 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.
520 $a 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)
650 0 $a Recommender systems (Information filtering) $3 310886
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650 0 $a Human-computer interaction. $3 189333
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650 2 4 $a Artificial Intelligence. $3 212515
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650 2 4 $a e-Commerce/e-business. $3 348145
650 2 4 $a Structural Materials. $3 274623
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
700 1 $a Dokoohaki, Nima. $3 832892
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