Privacy-Preserving Collaborative Filtering Based on Time-Drifting Characteristic
Chinese Journal of Electronics(2016)
摘要
Recommendation has become increasingly important because of the information overload. Collaborative filtering (CF) technique, as the most popular recommendation method, utilizes the historical preferences of users to predict their future interests on other items. However, CF technique requires collecting users' rating information, which may lead to the disclosure of privacy. We propose a new rando...
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关键词
collaborative filtering,data privacy,perturbation techniques
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