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Record Nr. |
UNINA9910678246403321 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (125 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 981 |
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Disciplina |
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Soggetti |
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Machine learning |
Electronic commerce |
Clothing and dress - Social aspects |
Human body in popular culture |
Social media |
Data protection - Law and legislation |
Machine Learning |
e-Commerce and e-Business |
Fashion and the Body |
Social Media |
Privacy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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This book includes the proceedings of the fourth workshop on |
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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). |
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