Recommender Systems in Fashion and Retail

Recommender Systems in Fashion and Retail

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

Dokoohaki, Nima; Corona Pampin, Humberto Jesus; Jaradat, Shatha; Shirvany, Reza

Springer Nature Switzerland AG

03/2022

115

Dura

Inglês

9783030940157

15 a 20 dias

360

Descrição não disponível.
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 O?ine Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study.- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classi?cation of Fashion Imagery.- Chapter 7. Style-based Interactive Eyewear Recommendations.
Recommender Systems;Information Retrieval;Information Systems;Machine Learning;AI Artificial Intelligence;Computer Vision;Text Mining;Fashion Retail;E-commerce