Issue |
MATEC Web Conf.
Volume 359, 2022
2022 3rd ISC International Conference on Intelligent Systems and Control in Fashion and Textile Engineering (ISC-FTE 2022)
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Article Number | 01010 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/matecconf/202235901010 | |
Published online | 25 May 2022 |
Artificial Intelligence Technology to Explore the Future Development of Traditional Handmade Leather Goods
Beijing Institute of Fashion Technology, Beijing, China, 100029
In recent years, artificial intelligence technology has developed faster and faster, and many industries need to rely on artificial intelligence technology for transformation and upgrading. Therefore, research on artificial intelligence technology is of great significance to the development of traditional handicraft industry. The purpose of this article is to study the future development and exploration of artificial intelligence technology in traditional handmade leather goods, and to specifically propose the use of intelligent new technologies to enhance personal experience, use new Internet media to innovate traditional handmade leather goods display, and expand composite types. The number of talents and other suggestions to promote the development of traditional handmade leather goods. Combining the problems of the personalized handmade leather goods style system, the decision support system mode is adopted to effectively combine the traditional handmade leather goods quantification, feature extraction and traditional handmade leather goods recommendation. In-depth research on user preference model and handmade leather goods recommendation algorithm, and established a model of personalized traditional handmade leather goods style system. Experimental results show that 9 out of 10 users are satisfied with the handmade leather goods recommended by the system after 5 interactions.
Key words: Artificial Intelligence / Traditional Handmade Leather Goods / Future Development / Exploration and Research
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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