This book includes the proceedings of the fourth workshop on recommender systems in fashion and retail (2022), 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).
Table of Content
1. Identification of Fine-grained Fit Information from Customer Reviews in Fashion.- 2. Personalization through User Attributes for Transformer-based Sequential Recommendation.- 3. Reusable Self-Attention-based Recommender System for Fashion.- 4. Adversarial Attacks against Visually-aware Fashion Outfit Recommender Systems.- 5. Contrastive Learning for Topic-Dependent Image Ranking.- 6. A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail.- 7. End-to-End Image-Based Fashion Recommendation.
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