摘要
近年来,随着人工智能技术的发展,衣物推荐系统在提高用户购物体验和满意度方面扮演着重要角色。文章首先提出了一种基于物联网技术的衣物推荐系统,为用户推荐最适合的服装;其次介绍了衣物推荐系统的理论和实践意义,并对目前的研究进展进行了总结,其中,系统的实现部分包括用户数据录入和衣物推荐算法的设计,通过用户的个人信息和当日活动等级,系统可以智能分析和挑选出个性化穿衣建议;最后讨论了系统所使用的相关概念和保温力的计算方法,这对提高用户购物体验、推进学科发展和促进产业发展具有重要意义。
In recent years,with the development of artificial intelligence technology,clothing recommendation system has played an important role in improving users’shopping experience and satisfaction.This paper first proposes a clothing recommendation system based on Internet of things technology,which can recommend the most suitable clothing for users;secondly,the theoretical and practical significance of the clothing recommendation system is introduced,and the current research progress is summarized,the implementation part of the system includes user data input and the design of clothing recommendation algorithms,through the users’personal information and daily activity level,the system can intelligently analyze and select personalized clothing suggestions;finally,the relevant concepts used in the system and the calculation method of insulation power are discussed,which is of great significance for improving user shopping experience,promoting disciplinary development,and promoting industrial development.
作者
刘馨
李加琪
罗洪斓
王佳奕
杨洋
Liu Xin;Li Jiaqi;Luo Honglan;Wang Jiayi;Yang Yang(Jiangxi University of Finance and Economics,Nanchang 330000,China;Liaoning Fuyu Technology Industrial Co.Ltd.,Shenyang 110000,China)
基金
江西财经大学大学生创新创业训练计划项目资助“智能U宜橱—基于物联网技术的衣物推荐管理系统”(202210421127)。
关键词
物联网技术
衣物推荐系统
个性化推荐
用户画像
保温力
Internet of things technology
clothing recommendation system
personalized recommendation
user profiling
insulation power