电商平台用户购买意向大数据分析

Analysis on Big Data of Purchase Intention of E-commerce Platform Users

利用长风大数据平台中心数据对电商平台用户购买意向数据进行分析,用Apriori算法从海量数据中挖掘商品潜在的关联,推知电商平台用户的消费习惯,得到了浏览量是影响购买的最大因素之一、已脱敏数据中的品类4与174模块商品关联性强等结论,对电商平台提出了合理化建议,让用户有更好的体验,实现电商平台与用户的互利共赢。

This paper uses the data from Changfeng Big Data Platform Center to analyze the purchase intention data of E-commerce platform users,and applies Apriori algorithm to mine the potential association of goods from the massive data,extrapolates the consumption habits of E-commerce platform users,and gets the conclusions that the browsing volume is one of the biggest factors affecting the purchase,the category 4 in the desensitized data has strong associations with the 174 module goods,etc.It gives reasonable suggestions on the improvement of E-commerce platform,in order to let users have better experience and realize mutual benefit and win-win between E-commerce platform and users.