In order to improve the portrayal of member images and strengthen the refined management of existing members, this paper proposes a method for depicting the members' portraits based on fuzzy clustering and RFM models. The model first uses the fuzzy C-means clustering algorithm to describe the purchasing power of members, and uses the RFM model to give the member life cycle and status division. Then, the activation rates of the inactive members in the member life cycle are calculated, so that the manager can fully understand the membership activation. Finally, the manager can arrange the promotion activities according to the member's preferences based on the associated rate.
王威娜.
基于模糊聚类和RFM模型的商场会员画像描绘方法
[J]. 吉林化工学院学报, 2019, 36(11): 71-73.
WANG Weina.
The Method for Portrait Depiction of Members in Department Stores based on Fuzzy Clustering and RFM Model
. Journal of Jilin Institute of Chemical Technology, 2019, 36(11): 71-73.