服装智能推荐系统在电子商务平台中的应用

Application of Clothing Intelligent Recommendation System in E-commerce Platform

近年来,随着我国互联网平台的不断发展,中国已逐渐进入了全民网购的电子商务时代,已有越来越多的电商平台以及商店引用智能推荐系统进而提高交易率。在购物的过程中,服装产品占据了较大的比例,但是消费者想要从大量的信息中筛选出自己想要的服装产品,并非易事。因此,对于电子商务平台来说,不断优化经营方式已成为一项巨大挑战,故需要我们不断地研发智能化的推荐系统,为人们筛选出符合自身特征的个性化服装产品。主要针对目前智能推荐系统的工作原理、服装推荐的方法以及应用进行了深入的研究,通过多种算法的特征,总结出每一种算法在目前服装推荐系统研究过程中的优势和不足,为电商平台的服装品牌推荐系统提供更加科学的算法依据。

In recent years,with the continuous development of China’s Internet platform,China has gradually entered the e-commerce era of national online shopping.At present,more and more e-commerce platforms and stores use intelligent recommendation system to improve the transaction rate.In the process of shopping,clothing products account for a large proportion,but it is not easy for consumers to select the clothing products they want from a large amount of information.Therefore,it has become a great challenge to continuously optimize the operation mode of e-commerce platform.Therefore,we need to constantly develop an intelligent recommendation system to screen out personalized clothing products that meet our own characteristics.Aiming at the working principle of the current intelligent recommendation system,this paper makes an in-depth study on the methods and applications of clothing recommendation.Through the characteristics of various algorithms,this paper summarizes the advantages and disadvantages of each algorithm in the current research process of clothing recommendation system,so as to provide a more scientific algorithm basis for the clothing brand recommendation system of e-commerce platform.