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Collaborative 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:scopusComparative Performance of Collaborative Filtering Recommendations Methods for Explaining Recommendations
Conference ObjectAbstract: In this paper a comparative performance of some collaborative filtering methods for recommender systPalabras claves:Bayesian models, biclustering, COLLABORATIVE FILTERING, Recommender systemAutores:Ortega F., Priscila Valdiviezo-DiazFuentes:googlescopusBasic Features of a Reflective Middleware for Intelligent Learning Environment in the Cloud (IECL)
Conference ObjectAbstract: In this paper is proposed an architecture of a Reflective Middleware, which aims to manage an IntellPalabras claves:Cloud learning, Intelligent environment, MASINA, reflective middleware, Virtual Learning EnvironmentAutores:Jorge Cordero, José Lisandro Aguilar Castro, Priscila Valdiviezo-Diaz, Sanchez M.B.Fuentes: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 comprehensive survey of knowledge graph-based recommender systems: Technologies, development, and contributions
ArticleAbstract: In recent years, the use of recommender systems has become popular on the web. To improve recommendaPalabras claves:Application domain, Knowledge Graph, Recommendation, Survey, TechnologiesAutores:Chizaiza J., Janneth Chicaiza, Priscila Valdiviezo-DiazFuentes: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 general framework for intelligent recommender systems
ArticleAbstract: In this paper, we propose a general framework for an intelligent recommender system that extends thePalabras claves:cognitive maps, Recommender systemAutores:Guido E. Riofrio, José Lisandro Aguilar Castro, Priscila Valdiviezo-DiazFuentes:scopusA 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:googlescopusEnhanced Books Recommendation Using Clustering Techniques and Knowledge Graphs
Conference ObjectAbstract: Nowadays, there is an increased interest in recommender systems in different fields, since they alloPalabras claves:Books, COLLABORATIVE FILTERING, K-Means, Knowledge Graph, Recommender systemAutores:Chizaiza J., Priscila Valdiviezo-DiazFuentes:googlescopusExplainable Recommender Systems: From Theory to Practice
Conference ObjectAbstract: Recommender systems support users’ decision-making, and they are key for helping them discover resouPalabras claves:Explainable recommendations, Generation of explanations, Recommendation models, Tripadvisor datasetAutores:Chizaiza J., Priscila Valdiviezo-DiazFuentes:scopus