¹School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
²Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China

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Abstract—In view of the issue of internal data in the construction of recommendation system may be leaked by external person. A privacy-preserving recommendation system based on MASK is designed to address it. The system consists of two parts: privacy-preserving subsystem and recommendation subsystem. First, disrupt original data to form new privacy-preserving data according to a certain probability. Second, conduct data mining with the new privacy-preserving data in recommendation subsystem. Third, its mining results will be used to help to make recommendation for users. Experimental results show that it can protect the original data without decreasing the accuracy of recommendation system.

Index Terms—privacy-preserving data mining, recommendation system, MASK

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Cite: Yonghong Xie, Aziguli Wulamu, Xiaojing Hu, Xiaojie Zhu, "Design and Implementation of Privacy-preserving Recommendation System Based on MASK," Journal of Software vol. 9, no. 10, pp. 2607-2613, 2014.