Abstract:

Mining enterprise microblogging fans’ characteristics can accurately capture the user’s preference and achieve personalized service. In this paper, the characteristics of enterprise microblogging fans are divided into population distribution characteristics and behavior characteristics. It takes Tmall tencent microblogging as an example to investigate enterprise microblogging fans’ population distribution characteristics and mine different social information fans groups’ behavior characteristics.

Key words: Enterprise microblogging, 　Fans, 　Tag, 　Behavior characteristics, 　Population distribution, 　Feature mining, 　Group marketing