Ortega F.
31
Coauthors
10
Documentos
Volumen de publicaciones por año
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Año de publicación | Num. Publicaciones |
---|---|
2018 | 4 |
2019 | 3 |
2020 | 1 |
2021 | 2 |
Publicaciones por áreas de conocimiento
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Área de conocimiento | Num. Publicaciones |
---|---|
Ciencias de la computación | 9 |
Aprendizaje automático | 7 |
Algoritmo | 3 |
Tecnologías de la información y la comunicación | 1 |
Inteligencia artificial | 1 |
Análisis de datos | 1 |
Ingeniería de software | 1 |
Software | 1 |
Educación superior | 1 |
Publicaciones por áreas temáticas
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Área temática | Num. Publicaciones |
---|---|
Funcionamiento de bibliotecas y archivos | 8 |
Métodos informáticos especiales | 2 |
Ciencias de la computación | 2 |
Interacción social | 1 |
Economía financiera | 1 |
Dirección general | 1 |
Principales fuentes de datos
Origen | Num. Publicaciones |
---|---|
Scopus | 10 |
Google Scholar | 7 |
RRAAE | 0 |
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Coautores destacados por número de publicaciones
Coautor | Num. Publicaciones |
---|---|
Priscila Valdiviezo-Diaz | 4 |
Bobadilla J. | 4 |
Remigio Hurtado Ortiz | 4 |
Li X. | 2 |
Rodolfo Bojorque-Chasi | 2 |
E. Tovar | 2 |
Lopez-Fernandez D. | 2 |
Cobos E. | 1 |
Lara-Cabrera R. | 1 |
Zhu B. | 1 |
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Top Keywords
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Publicaciones del autor
Comparative 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: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:scopusAn efficient recommender system method based on the numerical relevances and the non-numerical structures of the ratings
ArticleAbstract: In this paper, we propose a collaborative filtering method designed to improve the current memory-baPalabras claves:COLLABORATIVE FILTERING, model-based methods, pbkp_rediction time, performance, recommender systems, Similarity MeasuresAutores:Bobadilla J., Ortega F., Remigio Hurtado Ortiz, Zhu B.Fuentes:googlescopusA 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:googlescopusMotivation of Computer Science Engineering Students: Analysis and Recommendations
Conference ObjectAbstract: This Research Full Paper presents an empirical study about the motivation of Computer Science EnginePalabras claves:Active learning, Computer science, Engineering, MOTIVATION, Software EngineeringAutores:Alarcon P.P., E. Tovar, Lopez-Fernandez D., Ortega F.Fuentes:scopus