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Collaborative Filtering Enhanced by Demographic Information for Tourist Sites Recommendations
Conference ObjectAbstract: Recommender systems are very applicable in the tourism domain to alleviate the information overloadPalabras claves:COLLABORATIVE FILTERING, Demographic filtering, Recommender system, TOURISMAutores:Luis Febre, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusA 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:googlescopusCongestive heart failure pbkp_rediction based on feature selection and machine learning algorithms
Conference ObjectAbstract: Obesity is one of the main public health problems worldwide that present an association with many mePalabras claves:Congestive heart failure, feature selection, Machine learning, obesityAutores:Diego Morillo-Velepucha, Luis Barba-Guaman, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusPartitional clustering based on PCA method for segmentation of products
Conference ObjectAbstract: This paper focuses on grouping e-commerce data for product segmentation with dimension reduction usiPalabras claves:Clustering, Data Mining, principal components analysis, segmentationAutores:Priscila Valdiviezo-DiazFuentes:googlescopusUse of emerging aggregation techniques for the creation of learning communities
Conference ObjectAbstract: The phenomenon of aggregation plays an important role in the cooperation and task allocation in thePalabras claves:Community management algorithms, Emerging systems, learning communitiesAutores:Diego Guevara-Zaquinaula, José Lisandro Aguilar Castro, Luis Barba-Guaman, Priscila Valdiviezo-DiazFuentes:googlescopus