智能推荐的男衬衫个性化定制系统研究
黄珍珍 1李英琳1
作者信息
- 1. 闽江学院服装与艺术工程学院福建省新型功能性纺织纤维及材料重点实验室(闽江学院)
- 折叠
摘要
为了解决网购服装时出现的款式不搭、版型不合体等问题,结合服装搭配知识,提出了一种基于智能推荐的男衬衫个性化定制系统构建方法.该方法通过对消费者需求和男衬衫属性特征等进行分析,结合美学知识和服装搭配知识,采用机器学习方法建立男衬衫推荐模型,并对基于不同机器学习算法的推荐模型进行比较,得到性能较好的推荐模型.搭建推荐产品展示平台,对推荐产品进行虚拟着装效果展示.该方法为实现互联网时代的服装大规模定制提供一种解决方案.
Abstract
In order to resolve some problems like clothing styles do not match the body shape for online shopping,combined with clothing aesthetics coordination,the recommendation system based-on machine learning method for men's shirt personalized customization was proposed.In this method,the consumer's needs and men's shirt attributes were investigated and categorized,a relationship model between consumer and clothing attributes was established by integrating the aesthetics knowledge of clothing coordination.A men's shirt recommendation models based on different machine learning method were established and evaluated,so the recommended model with good performance can be obtained.This method provides a solution for the realization of clothing mass customization in the era of Internet.
关键词
男衬衫/推荐模型/个性化定制/机器学习算法/服装虚拟试衣Key words
men's shirt/recommendation model/personalized customization/machine learning algorithm/clothing virtual fitting引用本文复制引用
基金项目
2020年福建省自然科学基金资助项目(2020J01847)
出版年
2024
NETL
NSTL
万方数据