Recommender Systems in Fashion and Retail: Proceedings of the Fourth Workshop at the Recommender Systems Conference (2022): Lecture Notes in Electrical Engineering, cartea 981
Editat de Humberto Jesús Corona Pampín, Reza Shirvanyen Limba Engleză Paperback – 3 mar 2024
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Specificații
ISBN-13: 9783031221941
ISBN-10: 303122194X
Pagini: 119
Ilustrații: IX, 119 p. 32 illus., 30 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 303122194X
Pagini: 119
Ilustrații: IX, 119 p. 32 illus., 30 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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).
Caracteristici
Offers the best contributions of the fourth workshop on recommender systems in fashion and retail Presents a state-of-the-art view of recommender systems for e-commerce Provides readers with chapters covering contributions from academic as well as industrial researchers