The Analysis of Recommendation Method in EC Based on Interest Association Rule

Abstract:

Electronic commerce is growing rapidly in popularity because of its high efficiency, convenience and low cost. However, E-businesses need more in-time and correct related information about customer in order to provide the service of specific aim on business process. The service of specific aim is very important for e-business to attract new customer and maintain steady customer. The recommendation method based on interest association rule in EC proposed in this thesis can predict the interest of customer according to the analysis the customer’s interest to do personalized recommendation. The recommendation method can improve recommendation level with the clear aim to get good effect.

• Periodical: Applied Mechanics and Materials (Volumes 291-294)
• Pages: 2798-2801
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.291-294.2798
• Online since: February 2013
• Authors: Yu Zhen Wang
• Keywords: EC Recommendation Method, Interest Association Rule, Personalized Service

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