College of Information Engineering and Technology Sichuan Agricultural University, Ya’an, China

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Abstract—In the fierce electronic commerce competition, how to utilize the existing resources to improve customer loyalty has became an important factor for enterprises to guarantee their sustained growth. Through investigation into the customer statics, dynamic and enterprise service attributes, this paper, in order to guarantee higher customer loyalty of enterprises, has used random forest algorithm to improve the accuracy of the prediction to customer loyalty, and take the appropriate measures to avoid loss of customers.

Index Terms—Customer loyalty, random forests (RF), Agriculture-related enterprise

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Cite: Jiong Mu, Lijia Xu, Xuliang Duan and Haibo Pu, " Study on Customer Loyalty Prediction Based on RF Algorithm," Journal of Computers vol. 8, no. 8, pp. 2134-2138, 2013.