Research on user analysis and personalized recommendation of e-commerce platform based on big data
In today's booming e-commerce based on big data,influenced by the development of cloud computing,big data and machine learning technology,retail companies are able to do more online business attempts and breakthroughs from multiple perspectives.Among them,user analysis and personalized recommendation for public platforms and own e-commerce platforms are becoming a focus.Based on the user analysis of e-commerce platforms with big data,this paper researches the typical business and technical solutions of user analysis and personalized recommendation adopted by retail enterprises based on the current market en-vironment.
万方数据
维普
