F. Ortega

发表

Recommender systems survey

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

Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming

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

Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks

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

Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems

Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, 2020, Int. J. Interact. Multim. Artif. Intell..

Deep learning feature selection to unhide demographic recommender systems factors pdf

Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, 2020, Neural Comput. Appl..

Deep Variational Embedding Representation on Neural Collaborative Filtering Recommender Systems

J. Bobadilla, F. Ortega, A. Gutiérrez, 2022, Applied Sciences.

Performance of Two Approaches of Embedded Recommender Systems

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

Bias and Unfairness of Collaborative Filtering Based Recommender Systems in MovieLens Dataset

F. Ortega, Santiago Alonso, Álvaro González, 2022, IEEE Access.

Bias and unfairness of collaborative filtering based recommender systems in MovieLens dataset

F. Ortega, Santiago Alonso, Álvaro González, 2022, IEEE Access.

ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering

F. Ortega, A. Gutiérrez, R. Lara-Cabrera, 2022, ArXiv.

Data for: Recommender Systems for Sensor-based Ambient Control in Academic Facilities

Fernando Ortega, Juan A. Gómez-Pulido, Francisco Pajuelo-Holguera, 2020 .

Deep learning feature selection to unhide demographic recommender systems factors

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

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..

Recommender system implementations for embedded collaborative filtering applications

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

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 Based on Naïve Bayes Classifier

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

A balanced memory‐based collaborative filtering similarity measure

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

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

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

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

A framework for collaborative filtering recommender systems

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

Recommender systems for sensor-based ambient control in academic facilities

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

Evaluating Strategies for Selecting Test Datasets in Recommender Systems

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

Hybrid Collaborative Filtering Based on Users Rating Behavior

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

CF4J: Collaborative filtering for Java

Fernando Ortega, Bo Zhu, Antonio Hernando, 2018, 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..

A collaborative filtering similarity measure based on singularities

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

Dirichlet Matrix Factorization: A Reliable Classification-Based Recommender System

F. Ortega, R. Lara-Cabrera, Álvaro González, 2022, Applied Sciences.

Deep learning approach to obtain collaborative filtering neighborhoods

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

CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems

J. Mayor, D. López-Fernández, Fernando Ortega, 2020, Knowl. Based Syst..

Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems

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

Deep learning feature selection to unhide demographic recommender systems factors

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

Providing reliability in Recommender Systems through Bernoulli Matrix Factorization

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

Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems

Fernando Ortega, Jesús Bobadilla, Ricardo Moya, 2019, IEEE Access.

Method to interactively visualize and navigate related information

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2018, Expert Syst. Appl..

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.

VisualRS: Java framework for visualization of recommender systems information

Fernando Ortega, Bo Zhu, Jesús Bobadilla, 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..

A probabilistic model for recommending to new cold-start non-registered users

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2017, Inf. Sci..

Hierarchical graph maps for visualization of collaborative recommender systems

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, 2014, J. Inf. Sci..

Incorporating group recommendations to recommender systems: Alternatives and performance

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

A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study

Xin Li, Fernando Ortega, Jesús Bobadilla, 2019, IEEE Access.

Recommendation to Groups of Users Using the Singularities Concept

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

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems

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

Improving collaborative filtering-based recommender systems results using Pareto dominance

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

Trees for explaining recommendations made through collaborative filtering

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

Collaborative filtering based on significances

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

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..

DeepFair: Deep Learning for Improving Fairness in Recommender Systems pdf

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