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PPT-Secure Personalization Building Trustworthy recommender systems

PPT-Secure Personalization Building Trustworthy recommender systems

Author : yoshiko-marsland | Published Date : 2018-03-14

in the Presence of Adversaries Bamshad Mobasher Center for Web Intelligence School of Computing DePaul University Chicago Illinois USA Personalization Recommendation

user attack items item attack user item items users profiles effective attacker attacks data push systems system randomly prediction

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Secure Personalization Building Trustworthy recommender systems: Transcript

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