Recommender Systems in Fashion and Retail : Proceedings of the Third Workshop at the Recommender Systems Conference (2021) / edited by Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany.

Format:

Book

Contributor:

Dokoohaki, Nima, Editor.

Jaradat, Shatha, Editor.

Corona Pampín, Humberto Jesús., Editor.

Shirvany, Reza, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in electrical engineering 1876-1119 ; 830

Lecture Notes in Electrical Engineering, 1876-1119 ; 830

Language:

English

Subjects (All):

Machine learning.

Electronic commerce.

Clothing and dress-Social aspects.

Human body in popular culture.

Social media.

Data protection-Law and legislation.

Machine Learning.

e-Commerce and e-Business.

Fashion and the Body.

Social Media.

Privacy.

Local Subjects:

Machine Learning.

e-Commerce and e-Business.

Fashion and the Body.

Social Media.

Privacy.

Physical Description:

1 online resource (VI, 115 pages) : 22 illustrations, 21 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

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). .

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-94016-4

9783030940164

Access Restriction:

Restricted for use by site license.