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＜電子ブック＞
Recommender Systems in Fashion and Retail : Proceedings of the Fourth Workshop at the Recommender Systems Conference (2022) / edited by Humberto Jesús Corona Pampín, Reza Shirvany
(Lecture Notes in Electrical Engineering. ISSN:18761119 ; 981)

版	1st ed. 2023.
出版者	(Cham : Springer Nature Switzerland : Imprint: Springer)
出版年	2023
本文言語	英語
大きさ	IX, 119 p. 32 illus., 30 illus. in color : online resource
著者標目	Corona Pampín, Humberto Jesús editor Shirvany, Reza editor SpringerLink (Online service)
件　名	LCSH:Machine learning LCSH:Electronic commerce LCSH:Clothing and dress -- Social aspects  全ての件名で検索 LCSH:Human body in popular culture LCSH:Social media LCSH:Data protection -- Law and legislation  全ての件名で検索 FREE:Machine Learning FREE:e-Commerce and e-Business FREE:Fashion and the Body FREE:Social Media FREE:Privacy
一般注記	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 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) HTTP:URL=https://doi.org/10.1007/978-3-031-22192-7

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