Title :
The Research of Personalization E-Commerce Model Based on Data Mining
Author_Institution :
Law Sch. of Tongji Univ., Fudan Univ., Shanghai, China
Abstract :
With the development of supply chain and logistic, the commodity classification and amount provided by E-commerce system rise increasingly. The traditional web-centered searching commerce model has become the bottleneck hindering value-adding of e-commerce enterprises, while personalized e-commerce system is one effective way to solve this problem. Incorporating the demand for personalized e-commerce system and data mining technology, this paper explores personalized e-commerce model based on data mining. The practice proves that this model can realize one-to -one service for the customer provided by e-commerce system, shorten the shopping time of customers, maximize the attractions for customers and increase the loyalty of clients.
Keywords :
customer services; data mining; electronic commerce; commodity classification; data mining; e-commerce enterprise; logistic development; one-to-one customer service; personalized e-commerce model; personalized e-commerce system; supply chain development; Accuracy; Business; Data mining; Data models; Databases; Servers; Testing;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5999061