A Classical Association Rule Mining Algorithms Application in the Design for Individualized E-shop on the Internet
Traditional shop can only offer a single layout for all consumers. However,The Internet gives people wild imagination,why can not we design the individualized E-shop for every consumer in E-shop on the Internet? FP-growth algorithm is a new and interesting improved Apriori algorithm. This paper adopts FP-growth algorithm to construct an individualized E-shop that can meet the different consuming requirements of every consumer on the Internet. All the applied data of consumers comes from a popular book online website,dingdang. com. The individualized E-shop can not only help to realize the one-to-one marketing strategy and increase the loyalty of the consumer on the Internet,but also reach a win-win game balance (namely Pareto optimization) between the e-supply chain website and the consumer so as to make the whole e-supply chain more competitively.
Internet apriori individualize shop
Lijuan Huang
College of Information Management,Jiangxi University of Finance and Economics,Nanchang,330013,China
国际会议
The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)
上海
英文
151-154
2007-06-04（万方平台首次上网日期，不代表论文的发表时间）