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We introduce a smart business-to-consumer (B2C) e-commerce system based on the artificial systems, computational experiments, and parallel execution (ACP) approach to intelligently understand customers' interests and provide a customized B2C service experience. Taking recommendation as an example, the behavioral experiments' result shows significant improvement of the proposed system.