Prediction method of consumer repeat purchase behaviour in e-commerce environment Online publication date: Wed, 15-Nov-2023
by Miao Sun
International Journal of Web Based Communities (IJWBC), Vol. 19, No. 4, 2023
Abstract: Aiming at the problems of poor prediction accuracy and large prediction time cost of traditional repeat purchase behaviour prediction methods, a new prediction method of consumer repeat purchase behaviour in e-commerce environment is designed. Firstly, the factors affecting consumers' repeat purchase are determined according to the subjective and objective factors, and the characteristics of consumers' repeat purchase behaviour are extracted according to different types of characteristic data. Secondly, K-means algorithm is used to determine the clustering centre point of all feature data, and inconsistent feature data are removed according to the set standard conditions. Finally, a prediction model of consumer repeat purchase behaviour in e-commerce environment is constructed. The experimental results show that this method can quickly and accurately obtain the prediction results of e-commerce repeat purchase behaviour, and the prediction accuracy is always higher than 90%.
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