doi: 10.4304/jsw.9.10.2607-2613
Design and Implementation of Privacy-preserving Recommendation System Based on MASK
- 1 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
- 2 Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China
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.
Keywords
- privacy-preserving data mining
- recommen
How to Cite
Yonghong Xie, Aziguli Wulamu, Xiaojing Hu, and Xiaojie Zhu, "Design and Implementation of Privacy-preserving Recommendation System Based on MASK," Journal of Software, vol. 9, no. 10, pp. 2607-2613, 2014. https://doi.org/ 10.4304/jsw.9.10.2607-2613
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).