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Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks
[article]
2016
arXiv
pre-print
With the rapid growth in multimedia services and the enormous offers of video contents in online social networks, users have difficulty in obtaining their interests. Therefore, various personalized recommendation systems have been proposed. However, they ignore that the accelerated proliferation of social media data has led to the big data era, which has greatly impeded the process of video recommendation. In addition, none of them has considered both the privacy of users' contexts (e,g.,
arXiv:1509.00181v7
fatcat:lye3lamanjehpiwffx4aenfyfq