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1. |
Record Nr. |
UNINA9910795113103321 |
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Titolo |
Big data management in sensing : applications in AI and IoT / / editors : Renny Fernandez, Terrance Frederick Fernandez |
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Pubbl/distr/stampa |
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Gistrup, Denmark : , : River Publishers, , [2021] |
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©2021 |
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ISBN |
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1-000-79743-0 |
1-00-333735-X |
1-003-33735-X |
1-000-79427-X |
1-5231-4445-9 |
87-7022-414-5 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (288 pages) |
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Collana |
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River Publishers series in biomedical engineering |
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Disciplina |
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Soggetti |
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Big data - Industrial applications |
Big data |
Machine learning - Industrial applications |
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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 and index. |
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2. |
Record Nr. |
UNINA9910551842603321 |
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Titolo |
Recommender Systems in Fashion and Retail : Proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (116 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 830 |
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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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Chapter 1. Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users -- Chapter 2. What Users Want? WARHOL: A Generative Model for Recommendation -- Chapter 3. Knowing When You Don’t Know in Online Fashion: An Uncertainty Aware Size Recommendation Framework -- Chapter 4. SkillSF: In the Sizing Game, Your Size is Your Skill -- Chapter 5. A Critical Analysis of Offline Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study -- Chapter 6. Attentive Hierarchical |
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Label Sharing for Enhanced Garment and Attribute Classification of Fashion Imagery -- Chapter 7. Style-based Interactive Eyewear Recommendations. |
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Sommario/riassunto |
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This book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), 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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