TY  - EJOU
AU  - Cui, Haoliang 
AU  - Niu, Shaozhang 
AU  - Li, Keyue 
AU  - Shi, Chengjie 
AU  - Shao, Shuai 
AU  - Gao, Zhenguang 

TI  - A K-means++ Based User Classification Method for Social E-commerce
T2  - Intelligent Automation \& Soft Computing

PY  - 2021
VL  - 28
IS  - 1
SN  - 2326-005X

AB  - At present, the research on the classification of e-commerce users is relatively mature, but with the rise of mobile social networks, the combination of social networks and e-commerce networks has become a trend and is developing rapidly. Traditional e-commerce user classification methods are not suitable for social e-commerce users. Therefore, based on the research on traditional e-commerce user classification methods, according to the characteristics of social e-commerce users, we improved data preprocessing and parameter tuning methods, and proposed a clustering method of social e-commerce users based on the K-means++ algorithm. The test on the actual data of social e-commerce users showed that the retention rates of users of various classes are significantly different, which express that the proposed method can classify social e-commerce users accurately.
KW  - Social e-commerce; machine learning; cluster analysis; user classification

DO  - 10.32604/iasc.2021.016408