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A comprehensive view of recommendation methods based on probabilistic techniques
Conference ObjectAbstract: This research aims to use a hybrid recommendation method based on probabilistic techniques and topicPalabras claves:factorization matrix, Latent Dirichlet Allocation, recommender systemt, topic modelAutores:Hernando A., Priscila Valdiviezo-DiazFuentes:googlescopusRecommender systems clustering using Bayesian non negative matrix factorization
ArticleAbstract: Recommender Systems present a high-level of sparsity in their ratings matrices. The collaborative fiPalabras claves:Bayesian NMF, COLLABORATIVE FILTERING, Hard clustering, matrix factorization, Pre-clustering, recommender systems, Sparse dataAutores:Bobadilla J., Hernando A., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopus