Secure Personalization Building Trustworthy recommender systems - Description

in the Presence of Adversaries Bamshad Mobasher Center for Web Intelligence School of Computing DePaul University Chicago Illinois USA Personalization Recommendation Problem Dynamically serve customized content pages products recommendations etc to users based on their profiles p ID: 650260 Download Presentation

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Secure Personalization Building Trustworthy recommender systems

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in the Presence of Adversaries?. Bamshad Mobasher. Center for Web Intelligence. School of Computing, DePaul University, Chicago, Illinois, USA. Personalization / Recommendation Problem. Dynamically serve customized content (pages, products, recommendations, etc.) to users based on their profiles, preferences, or expected interests.

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

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