Fernando Ortega

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Artificial Intelligence Scientific Documentation Dataset for Recommender Systems

Fernando Ortega, Xin Li, Jesús Bobadilla, 2018, IEEE Access.

Improving collaborative filtering recommender system results and performance using genetic algorithms

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2011, Knowl. Based Syst..

A collaborative filtering approach to mitigate the new user cold start problem

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2012, Knowl. Based Syst..

DeepFair: Deep Learning for Improving Fairness in Recommender Systems pdf

Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, 2020, Int. J. Interact. Multim. Artif. Intell..

A Collaborative Filtering Approach Based on Naïve Bayes Classifier

Fernando Ortega, Priscila Valdiviezo-Diaz, Raúl Lara-Cabrera, 2019, IEEE Access.

Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks

Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, 2020, Sensors.

Recommender systems survey

J. Bobadilla, F. Ortega, A. Hernando, 2013, Knowl. Based Syst..

A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2016, Knowl. Based Syst..

Recommending items to group of users using Matrix Factorization based Collaborative Filtering

Fernando Ortega, Jeon-Hyung Kang, Antonio Hernando, 2016, Inf. Sci..

Deep learning feature selection to unhide demographic recommender systems factors

J. Bobadilla, F. Ortega, R. Lara-Cabrera, 2020, Neural Computing and Applications.

A framework for collaborative filtering recommender systems

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2011, Expert Syst. Appl..

Guillermo Glez. de Rivera, Antonio Hernando, Jesús Bobadilla, 2013, Knowl. Based Syst..

Deep variational models for collaborative filtering-based recommender systems pdf

Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, 2021, Neural Computing and Applications.

Hybrid Collaborative Filtering Based on Users Rating Behavior

Fernando Ortega, Diego Rojo, Laura Raya, 2018, IEEE Access.

Improving collaborative filtering-based recommender systems results using Pareto dominance

Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, 2013, Inf. Sci..

Incorporating group recommendations to recommender systems: Alternatives and performance

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2013, Inf. Process. Manag..

A collaborative filtering similarity measure based on singularities

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2012, Inf. Process. Manag..

Collaborative filtering based on significances

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2012, Inf. Sci..

An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings

Fernando Ortega, Bo Zhu, Jesús Bobadilla, 2018, IEEE Access.

Recommendation to Groups of Users Using the Singularities Concept

Fernando Ortega, Jesús Bobadilla, Remigio Hurtado, 2018, IEEE Access.

Deep learning approach to obtain collaborative filtering neighborhoods

J. Bobadilla, F. Ortega, R. Lara-Cabrera, 2021, Neural Computing and Applications.

Providing reliability in Recommender Systems through Bernoulli Matrix Factorization

J. Bobadilla, F. Ortega, R. Lara-Cabrera, 2020, Inf. Sci..

Performance of Two Approaches of Embedded Recommender Systems

F. Ortega, J. Gómez-Pulido, Francisco Pajuelo-Holguera, 2020, Electronics.

Recommender system implementations for embedded collaborative filtering applications

Fernando Ortega, Juan Antonio Gómez Pulido, José M. Granado Criado, 2020, Microprocess. Microsystems.

Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming

Fernando Ortega, Jesús Bobadilla, Raúl Lara-Cabrera, 2020 .

Evaluating Strategies for Selecting Test Datasets in Recommender Systems

Fernando Ortega, Juan Antonio Gómez Pulido, Francisco Pajuelo-Holguera, 2019, HAIS.

CF4J: Collaborative filtering for Java

Fernando Ortega, Bo Zhu, Antonio Hernando, 2018, Knowl. Based Syst..

Reliability quality measures for recommender systems

Fernando Ortega, Bo Zhu, Jesús Bobadilla, 2018, Inf. Sci..

Assigning reliability values to recommendations using matrix factorization

Fernando Ortega, Bo Zhu, Jesús Bobadilla, 2018, J. Comput. Sci..

Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2014, Int. J. Intell. Syst..

Trees for explaining recommendations made through collaborative filtering

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2013, Inf. Sci..

A balanced memory‐based collaborative filtering similarity measure

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2012, Int. J. Intell. Syst..

Extended Precision Quality Measure for Recommender Systems

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2011, CAEPIA.

Incorporating reliability measurements into the predictions of a recommender system

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2013, Inf. Sci..

Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2012, Expert Syst. Appl..

Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems

Ángel González-Prieto, Raúl Lara-Cabrera, Fernando Ortega, 2020, Applied Sciences.

Recommender systems for sensor-based ambient control in academic facilities

Juan Antonio Gómez Pulido, Francisco Pajuelo-Holguera, Fernando Ortega, 2020, Eng. Appl. Artif. Intell..