A New Method for Classifying Customer Purchasing Power

Authors:
Junzhong Ji;Fan Chen;Chunnian Liu
Affiliations:
Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology;Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology;Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology
Venue:
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Year:
2006

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Abstract

Personalized recommendations in an intelligent B2C portal are an important topic in Web Intelligence. Aiming at identification of customer purchasing power, this paper proposes a classification method based on Ant Colony Optimization (ACO), in which an artificial ant constructs a classification rule in light of virtual pheromone associated with attribute-value pairs, then illustrates the method with a case study and discusses its application in personalized recommendation.