基于大数据挖掘的广播电视客户价值分析  

Customer Value Analysis of Radio and Television Based on Big Data Mining

作　　者：戴新建[1] DAI Xin-jian(Changsha Social work college,Changsha Hunan 410004,China)

机构地区：[1]长沙民政职业技术学院

出　　处：《科技视界》2019年第34期223-223,244,共2页Science & Technology Vision

摘　　要：以客户价值理论为基础,建立了基于LRFMC模型的广播电视用户价值评估模型,利用python网络爬虫获取用户数据进行实证分析,对数据进行清洗和标准化处理,并利用K-Means聚类分析对用户进行合理分类。通过比较不同类型用户的价值,对不同类别用户采用区别化的营销策略。Based on the theory of customer value,a radio and television user value evaluation model based on lrfmc model is established.The user use data obtained by Python web crawler is used for empirical analysis,data is cleaned and standardized,and users are reasonably classified by K-means clustering analysis.By comparing the value of different types of users,different marketing strategies are adopted for different types of users.

关 键 词：大数据挖掘 客户价值分析 聚类分析 

分 类 号：F831.2[经济管理—金融学] TP311.13[自动化与计算机技术—计算机软件与理论]