Using Machine Learning Technologies to Build Recommender Systems

The modern world of technology and fashion are closely intertwined, creating new opportunities for innovative solutions in various areas of life. One such area is styling and clothing selection, where technology can help people find the perfect look that matches their preferences and context. This article discusses the process of creating a color combination detection system to identify clothing that matches the color using neural networks. The system in question is focused on analyzing various color combinations and generating appropriate recommendations.

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Published
2024-11-13
DOI
https://doi.org/10.1109/summa64428.2024.10803808
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
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Using Machine Learning Technologies to Build Recommender Systems

Inga M. Zashikhina, Larisa I. Zelenina, Ekaterina A. Demenkova, Lyudmila E. Khaimina et al.
Recommender Systems and Techniques
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Using Machine Learning Technologies to Build Recommender Systems

Inga M. Zashikhina, Larisa I. Zelenina, Ekaterina A. Demenkova, Lyudmila E. Khaimina, Evgenii S. Khaimin, Georgy A. Priemov
article en

Abstract

The modern world of technology and fashion are closely intertwined, creating new opportunities for innovative solutions in various areas of life. One such area is styling and clothing selection, where technology can help people find the perfect look that matches their preferences and context. This article discusses the process of creating a color combination detection system to identify clothing that matches the color using neural networks. The system in question is focused on analyzing various color combinations and generating appropriate recommendations.

Northern (Arctic) Federal University (RU)
Openalex Percentile: Top 62%
Recommender Systems and Techniques
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