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Advances in Intelligent Systems and Computing(3)
2019 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2019(2)
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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: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 approach hybrid recommender system of item bundles for group of users
Conference ObjectAbstract: User recommendation is a big challenge for collaborative filtering, due to the large number of usersPalabras claves:Autores:Bryam Vega Moreno, David Andres Morales Rivera, Remigio Hurtado OrtizFuentes:scopusA 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:googlescopusA new way of finding better neighbors in recommendation systems based on collaborative filtering
Conference ObjectAbstract: One of the biggest problems of the internet is information overload. A way to handle this is CollaboPalabras claves:Autores:Alejandro Sebastian Enriquez Mancheno, Domenica Alejandra Merchan Garcia, Remigio Hurtado OrtizFuentes: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:googlescopus