Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Fernando Ortega Requena
Categoría Investigador
L.D. PRF.CONTR.DOCT.
Escuela UPM
E.T.S DE ING. DE SISTEMAS INFORMÁTICOS
Departamento:
SISTEMAS INFORMÁTICOS
Area Conocimiento
LENGUAJES Y SISTEMAS INFORMATICOS
Grupo de Investigación:
KNOwledge Discovery and Information Systems (KNODIS)
Email (Directorio UPM)
fernando.ortega
upm.es
Teléfono (Directorio UPM)
910673641
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
2 Proyectos de I+D+i
1: (2013)
Aumento de Prestaciones en los Sistemas de Recomendación Basados en Filtrado Colaborativo
2: (2015)
SIREFICO: Aumento de prestaciones en los sistemas de recomendación basados en filtrado colaborativo
Formación de Investigadores y Movilidad
1 Estancias y sabáticos recogidos en programas oficiales
1: (2013)
Estancia de 3 meses en el Information Sciences Institute (USC, Los Angeles, California)
Difusión de Resultados de Investigación
35 Artículos en revistas
1: (2011)
A framework for collaborative filtering recommender systems
2: (2011)
A framework for collaborative filtering recommender systems
3: (2011)
Extended precision quality measure for recommender systems
4: (2011)
Improving collaborative filtering recommender system results and performance using genetic algorithms
5: (2012)
A Balanced Memory-Based Collaborative Filtering Similarity Measure
6: (2012)
A collaborative filtering approach to mitigate the new user cold start problem
7: (2012)
A collaborative filtering approach to mitigate the new user cold start problem
8: (2012)
A collaborative filtering similarity measure based on singularities
9: (2012)
A collaborative filtering similarity measure based on singularities
10: (2012)
Collaborative filtering based on significances
11: (2012)
Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items
12: (2013)
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm
13: (2013)
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm
14: (2013)
Hierarchical graph maps for visualization of collaborative recommender systems
15: (2013)
Improving collaborative filtering-based recommender systems results using Pareto dominance
16: (2013)
Improving collaborative filtering-based recommender systems results using Pareto dominance
17: (2013)
Incorporating group recommendations to recommender systems: Alternatives and performance
18: (2013)
Incorporating reliability measurements into the predictions of a recommender system
19: (2013)
Recommender systems survey
20: (2013)
Trees for explaining recommendations made through collaborative filtering
21: (2014)
Hierarchical graph maps for visualization of collaborative recommender systems
22: (2014)
Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations
23: (2016)
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model
24: (2018)
An efficient recommender system method based on the numerical relevances and the non-numerical structures of the ratings
25: (2018)
Artificial Intelligence Scientific Documentation Dataset for Recommender Systems
26: (2018)
CF4J: Collaborative Filtering for Java
27: (2018)
Hybrid Collaborative Filtering based on Users Rating Behavior
28: (2018)
Recommendation to Groups of Users Using the Singularities Concept
29: (2018)
Reliability quality measures for recommender systems
30: (2019)
A Collaborative Filtering Approach Based on Naive Bayes Classifier
31: (2019)
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific is Documentation Case Study
32: (2019)
Evaluating Strategies for Selecting Test Datasets in Recommender Systems
33: (2019)
Motivation of Computer Science Engineering Students: Analysis and Recommendations
34: (2019)
Project Based Learning meets Service Learning on Software Education
35: (2019)
Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems
1 Otras Publicaciones
1: (2012)
Overlapping Range Images Using Genetic Algorithms
1 Ponencia en Congresos
1: (2019)
Motivation of Computer Science Engineering Students: Analysis and Recommendations
• TOMA DE DATOS DE MEMORIAS Y CV
• UPM.ES
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)
