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Recommender Systems in Fashion and Retail

Proceedings of the Fourth Workshop at the Recommender Systems Conference (2022)
BuchKartoniert, Paperback
119 Seiten
Englisch
Springererschienen am03.03.20242023
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).mehr
Verfügbare Formate
BuchGebunden
EUR149,79
BuchKartoniert, Paperback
EUR106,99

Produkt

KlappentextThis 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).
Details
ISBN/GTIN978-3-031-22194-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum03.03.2024
Auflage2023
Seiten119 Seiten
SpracheEnglisch
Gewicht213 g
IllustrationenIX, 119 p. 32 illus., 30 illus. in color.
Artikel-Nr.55881800

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Schlagworte