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In this paper, a decision-making system for precision marketing is presented to deal with real-world problems based on real e-business data collected in a company in Beijing. During the data preprocessing, the authors conducted a cleaning course to make sure the data to be analyzed in the latter part of the paper were credential. Based on the processed data, the authors analyzed consumer purchasing behaviors using three classic recommendation algorithms and made a performance comparison of thedoi:10.1155/2021/5539300 doaj:2402ae2f34654cf5b2cab04662413fda fatcat:flpfl6azkjhrxfuf3rbvtnzu4e