面向企业微博的客户细分框架

Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》

陈东沂 周子程 蒋盛益 王连喜 吴佳林

Abstract： [Objective] This study tried to describe the customers’ characteristics effectively. [Methods] The proposed framework aimed to explore the personal and social relationship among the customers and their friends on the microblog platform. We described the customers’ characteristics using self-defined tags and then created segmentation with the help of text clustering and non-negative matrix factorization technologies. [Results] The method based on non-negative matrix factorization achieved an approximately 86.130% on average asw index, which outperformed traditional methods based on K-means and hierarchical clustering. [Limitations] The customers’ characteristic cannot be described only by himself and his friends with self-defined tags on Microblogging. [Conclusions] The proposed framework could improve the

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