Resolving cold start and sparse data challenge in recommender systems using multi-level singular value decomposition
Keyvan Vahidy Rodpysh, Seyed Javad Mirabedini, Touraj Banirostam
Topics & Concepts
Recommender systemSingular value decompositionContext (archaeology)Computer scienceCold start (automotive)Feature (linguistics)Similarity (geometry)Sparse matrixCollaborative filteringMatrix decompositionStochastic gradient descentData miningDecompositionArtificial intelligenceMatrix (chemical analysis)Machine learningInformation retrievalEngineeringArtificial neural networkPaleontologyQuantum mechanicsGaussianEcologyPhysicsBiologyComposite materialAerospace engineeringPhilosophyLinguisticsImage (mathematics)Materials scienceEigenvalues and eigenvectorsRecommender Systems and TechniquesAdvanced Graph Neural NetworksMachine Learning and ELM