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Analysis of clothing structure and management in clothing design oriented to market demand via recommendation algorithm

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  • Yuli Hu

    (Wuzhou University)

Abstract

With the development and progress of the times, whether it is the practicality or fashion of clothing, people's requirements for clothing are getting higher and higher. Clothing is an important part of people's daily life. With the improvement of people's overall quality, there are new requirements for the overall style of clothing, such as style, color, fabric comfort, etc. Clothing design has a non-negligible impact on clothing structure and clothing management. In this paper, a collaborative filtering clothing recommendation algorithm based on image visual features is designed. The algorithm uses the matrix decomposition model to obtain the user feature partial favorability matrix and the commodity feature possession matrix through the user-item scoring information. Experiments show that compared with the benchmark algorithm Funk-SVD, the recall, precision, and F1 scores are improved. Therefore, our algorithm can effectively analyze clothing design and clothing structure management, and give better suggestions for people.

Suggested Citation

  • Yuli Hu, 2025. "Analysis of clothing structure and management in clothing design oriented to market demand via recommendation algorithm," Electronic Commerce Research, Springer, vol. 25(4), pages 2825-2846, August.
    • Handle: RePEc:spr:elcore:v:25:y:2025:i:4:d:10.1007_s10660-023-09776-4
    DOI: 10.1007/s10660-023-09776-4
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