Recommender Systems in Fashion and Retail

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Geliefert zwischen Mi., 04.03.2026 und Do., 05.03.2026

Details

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).


Offers the best contributions of the 2nd workshop on recommender systems in fashion and retail, held in 2020 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 active within this emerging new field

Inhalt
Chapter 1. The Importance of Brand Anity in Luxury Fashion Recommendations.- Chapter 2. Probabilistic Color Modelling of Clothing Items.- Chapter 3. User Aesthetics Identication 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. Outt Generation and Recommendation An Experimental Study.- Chapter 8. Understanding Professional Fashion Stylists' Outfit Recommendation Process.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030661052
    • Genre Information Technology
    • Editor Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany
    • Lesemotiv Verstehen
    • Anzahl Seiten 160
    • Größe H9mm x B155mm x T235mm
    • Jahr 2022
    • EAN 9783030661052
    • Format Kartonierter Einband
    • ISBN 978-3-030-66105-2
    • Titel Recommender Systems in Fashion and Retail
    • Untertitel Lecture Notes in Electrical Engineering 734
    • Herausgeber Springer
    • Sprache Englisch

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