基于高校微信平台数据的用户行为分析与预测——以华南农业大学珠江学院微信公众号为例

User Behavior Analysis and Prediction Based on We Chat Platform Data of Universities—— Take South China Agricultural University Zhujiang College We Chat public number for example

目前高校微信平台日渐增长,各大高校纷纷创立各自的微信公众号。现在高校微信公众平台已成为高校信息推送的重要媒体,高校微信公众平台每次发送推文的浏览量,以及转发量是衡量高校微信平台影响力的重要因素,本文通过对微信公众号和weka数据挖掘平台进行研究,通过对高校微信平台用户的使用意愿进行深入详细分析和挖掘,提出一种基于weka平台的高校微信平台用户行为分析与预测模型。通过分析决策树为高校微信平台的发展提供参考。

At present, the WeChat platform in colleges and universities is increasing day by day. All majoruniversities have set up their own WeChat public account. Now that the WeChat public platform in colleges anduniversities has become an important media for pushing information in colleges and universities, the number of timeseach page is sent by the WeChat public platform in colleges and universities and the forwarding volume is an importantfactor for measuring the influence of the WeChat platform in colleges and universities. Mining platform for research,through the use of the Weixin University platform users in -depth analysis and mining in depth, based on wekaplatform for university WeChat platform user behavior analysis and prediction model. By analyzing the decision tree forthe development of university WeChat platform to provide a reference.