Recommender Systems in Fashion and Retail: Proceedings of the Third Workshop at the Recommender Systems...

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Nima Dokoohaki Shatha Jaradat

Recommender Systems in Fashion and Retail

Proceedings of the Third Workshop at the Recommender Systems Conference (2021)

Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín , Reza Shirvany

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English

Springer Nature Switzerland AG
09 March 2023

Cultural studies; Media studies; E-commerce: business aspects; Business applications; Machine learning

Series: Lecture Notes in Electrical Engineering

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).

Edited by: Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2022
Volume: 830
Dimensions: Height: 235mm, Width: 155mm,
Weight: 203g
ISBN: 9783030940188
ISBN 10: 3030940187
Series: Lecture Notes in Electrical Engineering
Pages: 115
Publication Date: 09 March 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.