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Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems

Group RecommendersEngineeringInformation RetrievalData ScienceData MiningCold StartMatrix FactorizationKnowledge DiscoverySimilarity CriteriaComputer ScienceSingular Value DecompositionCold-start ProblemStatisticsCollaborative FilteringInformation Filtering System