摘要
在序列对齐方法的基础上,提出了客户购买行为的相似比较标准。在比较过程中,考虑了客户购买产品的类别和相应产品的购买金额,给出了快速计算客户购买行为相似度的算法。在此基础上,对客户聚类应用模拟退火遗传算法改善聚类的质量,使每一类客户具有更相似的购买行为。实例分析结果表明,所提出的方法能够有效地根据购买行为对客户加以分类。
A similarity measurement of customers＇ purchase behaviors was proposed based on the sequence alignment method. Purchased product varieties and their corresponding monetary values were taken into consideration in the comparison processes between different customers. A quick algorithm for the computation of similarity between purchase behaviors of customers was proposed. Based on this algorithm, a genetic algorithm with simulated annealing approach was adopted to improve cluster segmentation quality so that customers in the same cluster would have the closest purchase pattern. Analysis results of examples indicated that the proposed method was effective for customer segmentation based on purchase behaviors.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2005年第12期1769-1774,共6页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(70171013)
国家863/CIMS主题资助项目(2001AA136010)~~
关键词
客户分类
序列对齐方法
聚类
遗传算法
模拟退火
customer segmentation
sequence alignment method
clustering
genetic algorithm
simulated annealing
