Recommender systems in fashion and retail proceedings of the third Workshop at the Recommender Systems Conference (2021) / Nima Dokoohaki, Shatha Jaradat, Humberto Jes︢s Corona Pamp̕n, Reza Shirvany, editors
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 Dont 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 Oine Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study -- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classication of Fashion Imagery -- Chapter 7. Style-based Interactive Eyewear Recommendations
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)
Notes
Online resource; title from PDF title page (SpringerLink, viewed March 18, 2022)
