Privacy preservation for recommendation databases
© 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,...
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Main Authors: | Surapon Riyana, Juggapong Natwichai |
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Format: | Journal |
Published: |
2018
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Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055989132&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62604 |
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Institution: | Chiang Mai University |
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