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Iberian Conference on Information Systems and Technologies, CISTI(3)
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2017 7th International Workshop on Computer Science and Engineering, WCSE 2017(1)
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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:googlescopusCollaborative filtering optimization based on matrix factorization through the relevance of user preferences
ArticleAbstract: Collaborative filtering based on matrix factorization has become the reference method for the recommPalabras claves:COLLABORATIVE FILTERING, Gradient descent, matrix factorization, Recommendation systemAutores:Mayor J., Ortega F., Pajuelo-Holguera F., Priscila Valdiviezo-DiazFuentes:scopusA Collaborative Filtering Approach Based on Naïve Bayes Classifier
ArticleAbstract: Recommender system is an information filtering tool used to alleviate information overload for usersPalabras claves:COLLABORATIVE FILTERING, hybrid CF, Naïve Bayes classifier, recommender systems, reliability measureAutores:Cobos E., Lara-Cabrera R., Ortega F., Priscila Valdiviezo-DiazFuentes:googlescopusA Comparison of Machine Learning Algorithms to Pbkp_redict Cervical Cancer on Imbalanced Data
Conference ObjectAbstract: Cervical cancer is a leading cause of death in women. The present research analyzes, explores, compaPalabras claves:Cervical Cancer, Imbalanced data techniques, Machine learning, pbkp_redictionAutores:Christian Ortiz-Torres, Luis Barba-Guaman, 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:googlescopusA hybrid approach of recommendation via extended matrix based on collaborative filtering with demographics information
Conference ObjectAbstract: In view of the growth in the use of methods based on matrix factorization, this research proposes anPalabras claves:COLLABORATIVE FILTERING, Demographic information, Extended matrix, matrix factorization, Recommender system, Sparse dataAutores:Bobadilla J., 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:googlescopusAplicación de algoritmos de clustering para conocer el comportamiento de los estudiantes durante su interacción en los foros de la plataforma Dotlrn. Caso real - UTPL
Bachelor ThesisAbstract: Las plataformas e-learning han adoptado un papel protagónico dentro de la educación en los últimos aPalabras claves:Algoritmos (Computadores), Ingeniero en sistemas informáticos y computación – Tesis y disertaciones académicas, Plataforma E-Learning DotlrnAutores:Priscila Valdiviezo-Diaz, Ramiro Alexander Gonzaga BustamanteFuentes:rraaeDrug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation
ArticleAbstract: Background: Diabetes is a public health problem worldwide. Although diabetes is a chronic and incuraPalabras claves:Chronic Disease, Clustering, COLLABORATIVE FILTERING, Data Mining, DIABÉTES, drug, Machine learning, Patient information, recommend, Recommender systemAutores:Luis Barba-Guaman, Luis Fernando Granda Morales, Priscila Valdiviezo-Diaz, Ruth ReateguiFuentes:googlescopusHybrid Collaborative Filtering Based on Users Rating Behavior
ArticleAbstract: Several collaborative filtering (CF) approaches have been developed in order to improve the qualityPalabras claves:COLLABORATIVE FILTERING, hybrid CF, Knn, matrix factorization, recommender systemsAutores:Ortega F., Priscila Valdiviezo-Diaz, Raya L., Rojo D.Fuentes:googlescopus