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Federated Multi-view Matrix Factorization for Personalized Recommendations

Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din

2021Lecture notes in computer science67 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceMatrix decompositionFactorizationTheoretical computer scienceArtificial intelligenceAlgorithmQuantum mechanicsPhysicsEigenvalues and eigenvectorsRecommender Systems and TechniquesPrivacy-Preserving Technologies in DataCustomer churn and segmentation
Federated Multi-view Matrix Factorization for Personalized Recommendations | Litcius