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Recommender systems in fashion and retail : proceedings of the fourth workshop at the recommender systems conference (2022) / / Humberto Jesús Corona Pampín and Reza Shirvany, editors



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Titolo: Recommender systems in fashion and retail : proceedings of the fourth workshop at the recommender systems conference (2022) / / Humberto Jesús Corona Pampín and Reza Shirvany, editors Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
©2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (125 pages)
Disciplina: 658.872
Soggetto topico: Electronic commerce
Electronic commerce - Taxation
Recommender systems (Information filtering)
Persona (resp. second.): Corona PampínHumberto Jesús
ShirvanyReza
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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).
Titolo autorizzato: Recommender Systems in Fashion and Retail  Visualizza cluster
ISBN: 3-031-22192-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910678246403321
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Serie: Lecture notes in electrical engineering.