论文信息 - A New Method for Classifying Customer Purchasing Power

A New Method for Classifying Customer Purchasing Power

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.

Fan Chen | Chunnian Liu | Junzhong Ji

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