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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Bibliographic Details
Main Authors: Surapon Riyana, Juggapong Natwichai
Format: Journal
Published: 2018
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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