A differentially private matrix factorization based on vector perturbation for recommender system
Xun Ran, Yong Wang, Leo Yu Zhang, Jun Ma
Topics & Concepts
Recommender systemComputer scienceDifferential privacyMatrix decompositionFactorizationPerturbation (astronomy)RSSData miningTheoretical computer scienceAlgorithmMathematical optimizationMachine learningMathematicsOperating systemPhysicsQuantum mechanicsEigenvalues and eigenvectorsPrivacy-Preserving Technologies in DataStochastic Gradient Optimization TechniquesRecommender Systems and Techniques