Mostrando 10 resultados de: 11
Filtros aplicados
Publisher
Advances in Intelligent Systems and Computing(6)
IEEE Access(3)
Ingenius(1)
Revista Espanola de Documentacion Cientifica(1)
Área temáticas
Funcionamiento de bibliotecas y archivos(5)
Métodos informáticos especiales(4)
Programación informática, programas, datos, seguridad(3)
Ciencias de la computación(2)
Dirección general(2)
Área de conocimiento
Ciencias de la computación(6)
Aprendizaje automático(5)
Algoritmo(3)
Inteligencia artificial(2)
Gestión de recursos humanos(1)
Origen
google(10)
Clustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities
Conference ObjectAbstract: This paper shows the results of a Recommender System (RS) that suggests bundles of items to a user oPalabras claves:Bundles of items, matrix factorization, Recommender systemAutores:César Inga Chalco, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopusAnalysis of scientific production based on trending research topics. An Artificial Intelligence case study
ArticleAbstract: Scientific documentation research leads to the computation of large amounts of information from publPalabras claves:Artificial intelligence trends, Data Mining, Machine learning, Natural Language processing, Research topics, Scientific documentation, Scientific production, SCOPUSAutores:Bobadilla J., Gutiérrez A., Patricio M.Á., Rodolfo Bojorque-ChasiFuentes:googlescopusA comparative analysis of similarity metrics on sparse data for clustering in recommender systems
Conference ObjectAbstract: This work shows similarity metrics behavior on sparse data for recommender systems (RS). ClusteringPalabras claves:Clustering, recommender systems, Similarity MeasuresAutores:César Inga Chalco, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopusA new recommendation approach based on probabilistic soft clustering methods: A scientific documentation case study
ArticleAbstract: Recommender system (RS) clustering is an important issue, both for the improvement of the collaboratPalabras claves:COLLABORATIVE FILTERING, recommender systems, Scientific documentation, Soft clusteringAutores:Bobadilla J., Li X., Ortega F., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopusCurriculum design based on agile methodologies
Conference ObjectAbstract: This work demonstrates how the curricular design processes at a graduate level, that is to say the oPalabras claves:agile methodologies, CURRICULAR DESIGN, ScrumAutores:Fernando Pesántez Avilés, Rodolfo Bojorque-ChasiFuentes:googlescopusAcademic Quality Management System Audit Using Artificial Intelligence Techniques
Conference ObjectAbstract: Quality management systems are a challenge for higher education centers. Nowadays, there are differePalabras claves:Artificial Intelligence, Audit techniques, Quality Management SystemsAutores:Fernando Pesántez Avilés, Rodolfo Bojorque-ChasiFuentes:googlescopusHierarchical clustering for collaborative filtering recommender systems
Conference ObjectAbstract: Nowadays, the Recommender Systems (RS) that use Collaborative Filtering (CF) are objects of interestPalabras claves:Agglomerative hierarchical clustering, COLLABORATIVE FILTERING, recommender systems, Similarity metricsAutores:César Inga Chalco, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:googlescopusRandom Samplings Using Metropolis Hastings Algorithm
Conference ObjectAbstract: Random Walks Samplings are important method to analyze any kind of network; it allows knowing the nePalabras claves:Markov chains, Metropolis hastings, Node sampling, Random sampling, Random walks, Small worldsAutores:Andrea Plaza-Cordero, Miguel Arturo Arcos Argudo, Rodolfo Bojorque-ChasiFuentes:googlescopusRecommendation to Groups of Users Using the Singularities Concept
ArticleAbstract: Recommendation to a group of users is a big challenge for collaborative filtering. The recommendatioPalabras claves:COLLABORATIVE FILTERING, group of users, Recommendation to groups, recommender systems, SingularityAutores:Bobadilla J., Ortega F., Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes: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