基于机器学习的时尚穿搭推荐研究综述  

Survey on fashion outfit recommendation research based on machine learning

作　　者：史英杰[1] 杨珂[2] 王建欣 杜方 Shi Yingjie;Yang Ke;Wang Jianxin;Du Fang(School of Business,Beijing Institute of Fashion Technology,Beijing 100029,China;School of Arts&Sciences,Beijing Institute of Fashion Technology,Beijing 100029,China;School of Information Engineering,Ningxia University,Yinchuan 750021,China)

机构地区：[1]北京服装学院商学院,北京100029 [2]北京服装学院文理学院,北京100029 [3]宁夏大学信息工程学院,银川750021

出　　处：《计算机应用研究》2022年第4期978-985,共8页Application Research of Computers

基　　金：国家自然科学基金资助项目(61502279,62062058);北京服装学院重点科研项目(2021A-02)。

摘　　要：时尚产业是全球最具商业利益的产业之一,基于机器学习的时尚穿搭推荐技术利用互联网时尚社区的海量穿搭数据学习穿衣搭配技巧,实现个性化的时尚穿搭推荐服务于时尚产业,受到工业界和学术界的广泛关注。结合时尚穿搭的特点提出了基于机器学习的时尚穿搭推荐基本框架,并在此基础上对近几年国内外相容性预测与诊断、智能穿搭生成等关键技术的相关研究工作进行总结分析,指出该研究领域所面临的挑战性问题和未来的研究方向。The fashion industry is one of the most commercially profitable industries in the world,fashion outfit recommendation technology based on machine learning adopts massive outfit data of the Internet fashion community to learn the outfit matching skills,and realizes personalized outfit recommendation to serve the fashion industry,which has received extensive attentions from both industry and academia.Combining the characteristics of fashion outfit,this paper proposed the fashion outfit recommendation architecture based on machine learning,and on this basis,it summarized and analyzed the relevant research work of key technologies such as compatibility prediction and diagnosis,intelligent outfit generation,and so on.At last,it pointed out the challenging problems and future research directions in this field.

关 键 词：时尚穿搭 推荐 相容性 机器学习 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]