Privacy preservation for recommendation databases

• Main Authors: Surapon Riyana, Juggapong Natwichai
• Format: Journal
• Published: 2018
• Subjects: Business, Management and Accounting; Computer Science
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055989132&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/62604
• Institution: Chiang Mai University

© 2018, Springer-Verlag London Ltd., part of Springer Nature. Since recommendation systems play an important role in the current situations where such digital transformation is highly demanded, the privacy of the individuals’ collected data in the systems must be secured effectively. In this paper,...