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Workshop on Recommender Systems in Fashion and Retail (2021))

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Recommender systems in fashion and retail = proceedings of the third workshop at the Recommender Systems Conference (2021) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recommender systems in fashion and retail/ edited by Nima Dokoohaki ... [et al.].
Reminder of title:	proceedings of the third workshop at the Recommender Systems Conference (2021) /
other author:	Dokoohaki, Nima.
corporate name:	Workshop on Recommender Systems in Fashion and Retail
Published:	Cham :Springer International Publishing : : 2022.,
Description:	vi, 115 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users -- Chapter 2. What Users Want? WARHOL: A Generative Model for Recommendation -- Chapter 3. Knowing When You Don't Know in Online Fashion: An Uncertainty Aware Size Recommendation Framework -- Chapter 4. SkillSF: In the Sizing Game, Your Size is Your Skill -- Chapter 5. A Critical Analysis of Oﬄine Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study -- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classiﬁcation of Fashion Imagery -- Chapter 7. Style-based Interactive Eyewear Recommendations.
Contained By:	Springer Nature eBook
Subject:	Recommender systems (Information filtering) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-94016-4
ISBN:	9783030940164

Recommender systems in fashion and retail = proceedings of the third workshop at the Recommender Systems Conference (2021) /
Recommender systems in fashion and retailproceedings of the third workshop at the Recommender Systems Conference (2021) /[electronic resource] :edited by Nima Dokoohaki ... [et al.]. - Cham :Springer International Publishing :2022. - vi, 115 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 8301876-1119 ;. - Lecture notes in electrical engineering ;v. 830..

Chapter 1. Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users -- Chapter 2. What Users Want? WARHOL: A Generative Model for Recommendation -- Chapter 3. Knowing When You Don't Know in Online Fashion: An Uncertainty Aware Size Recommendation Framework -- Chapter 4. SkillSF: In the Sizing Game, Your Size is Your Skill -- Chapter 5. A Critical Analysis of Oﬄine Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study -- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classiﬁcation of Fashion Imagery -- Chapter 7. Style-based Interactive Eyewear Recommendations.

This book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), 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, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers)

ISBN: 9783030940164

Standard No.: 10.1007/978-3-030-94016-4doiSubjects--Topical Terms:

3221329
Recommender systems (Information filtering)
--Congresses.

LC Class. No.: ZA3084 / .W67 2021

Dewey Class. No.: 005.56

Recommender systems in fashion and retail = proceedings of the third workshop at the Recommender Systems Conference (2021) /
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505 0 $a Chapter 1. Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users -- Chapter 2. What Users Want? WARHOL: A Generative Model for Recommendation -- Chapter 3. Knowing When You Don't Know in Online Fashion: An Uncertainty Aware Size Recommendation Framework -- Chapter 4. SkillSF: In the Sizing Game, Your Size is Your Skill -- Chapter 5. A Critical Analysis of Oﬄine Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study -- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classiﬁcation of Fashion Imagery -- Chapter 7. Style-based Interactive Eyewear Recommendations.
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