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

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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.

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Data availability

The experimental data used to support the findings of this study are available from the corresponding author upon request.

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Acknowledgements

The authors would like to show sincere thanks to those techniques who have contributed to this research. 2021 Wuzhou University School-level Scientific Research Project: Living Inheritance of Miao Nationality Costumes in Northern Guangxi.

Funding

This study is supported by 2021 Wuzhou University School-level Scientific Research Project: Living Inheritance of Miao Nationality Costumes in Northern Guangxi;2021 Guangxi University Middle-aged and Young Teachers' Basic Research Ability Improvement Project: Creative Product Design Research Based on the Regional Culture of the Miao Nationality in Guangxi, Northern Guangxi, Project Number: 2021KY0662.

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Authors and Affiliations

  1. School of Jewelry and Art Design, Wuzhou University, Wuzhou, 543003, China

    Yuli Hu

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  1. Yuli Hu
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All author is contributed to the design and methodology of this study, the assessment of the outcomes and the writing of the manuscript.

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Correspondence to Yuli Hu.

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The authors declared that they have no conflicts of interest regarding this work.

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Hu, Y. Analysis of clothing structure and management in clothing design oriented to market demand via recommendation algorithm. Electron Commer Res (2023). https://doi.org/10.1007/s10660-023-09776-4

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