Nima Dokoohaki & Shatha Jaradat 
Recommender Systems in Fashion and Retail [PDF ebook] 

Soporte

This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), 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, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).  

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Tabla de materias

Chapter 1. The Importance of Brand Affinity in Luxury Fashion Recommendations.- Chapter 2. Probabilistic Color Modelling of Clothing Items.- Chapter 3. User Aesthetics Identification for Fashion Recommendations.- Chapter 4. Towards User-in-the-Loop Online Fashion Size Recommendation with Low Cognitive Load.- Chapter 5. Attention Gets You the Right Size and Fit in Fashion.- Chapter 6. The Ensemble-Building Challenge for Fashion Recommendation.- Chapter 7. Outfit Generation and Recommendation – An Experimental Study.- Chapter 8. Understanding Professional Fashion Stylists’ Outfit Recommendation Process.

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Idioma Inglés ● Formato PDF ● Páginas 160 ● ISBN 9783030661038 ● Tamaño de archivo 5.6 MB ● Editor Nima Dokoohaki & Shatha Jaradat ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2021 ● Descargable 24 meses ● Divisa EUR ● ID 7789784 ● Protección de copia DRM social

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