Jesús Bobadilla

According to our database, Jesús Bobadilla authored at least 64 papers between 1989 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Use of conditional generative adversarial networks to create demographic collaborative filtering datasets.

Jesús Bobadilla, Abraham Gutiérrez

Appl. Soft Comput., 2025

2024

Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets.

Jesús Bobadilla, Abraham Gutierrez Rodriguez

Appl. Intell., February, 2024

Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems.

Jesús Bobadilla, Jorge Dueñas-Lerín, Fernando Ortega, Abraham Gutiérrez

Int. J. Interact. Multim. Artif. Intell., 2024

Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets.

Jesús Bobadilla, Abraham Gutiérrez

CoRR, 2024

Mapping Research Publications Across the World: Looking for Opportunities in AI.

Santiago Alonso, Abraham Gutiérrez, Jesús Bobadilla

Proceedings of the Intelligent Decision Technologies, 2024

A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results.

Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso

Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

2023

Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks.

Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez

Knowl. Based Syst., November, 2023

Neural group recommendation based on a probabilistic semantic aggregation.

Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla

Neural Comput. Appl., July, 2023

Deep variational models for collaborative filtering-based recommender systems.

Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto

Neural Comput. Appl., April, 2023

Deep Neural Aggregation for Recommending Items to Group of Users.

Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla

CoRR, 2023

Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research.

Jesús Bobadilla, Abraham Gutiérrez

Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022

Deep learning approach to obtain collaborative filtering neighborhoods.

Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera

Neural Comput. Appl., 2022

Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities.

Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto

Int. J. Interact. Multim. Artif. Intell., 2022

Recommendation Versus Regression Neural Collaborative Filtering.

Jesús Bobadilla, Santiago Alonso, Abraham Gutiérrez, Álvaro González

Proceedings of the Intelligent Decision Technologies, 2022

2021

Deep learning feature selection to unhide demographic recommender systems factors.

Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera

Neural Comput. Appl., 2021

Providing reliability in recommender systems through Bernoulli Matrix Factorization.

Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla

Inf. Sci., 2021

DeepFair: Deep Learning for Improving Fairness in Recommender Systems.

Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega

Int. J. Interact. Multim. Artif. Intell., 2021

2020

Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks.

Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, Abraham Gutiérrez

Sensors, 2020

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

Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso

Int. J. Interact. Multim. Artif. Intell., 2020

A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups.

Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Remigio Hurtado

Int. J. Interact. Multim. Artif. Intell., 2020

2019

MaliciousML: MovieLens dataset attacked with diverse profile injection attacks.

Santiago Alonso, Jesús Bobadilla, Fernando Ortega, Ricardo Moya

Dataset, February, 2019

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

Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li

IEEE Access, 2019

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

Santiago Alonso, Jesús Bobadilla, Fernando Ortega, Ricardo Moya

IEEE Access, 2019

2018

CF4J: Collaborative filtering for Java.

Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando

Knowl. Based Syst., 2018

<i>VisualRS</i>: Java framework for visualization of recommender systems information.

S. Gil, Jesús Bobadilla, Fernando Ortega, Bo Zhu

Knowl. Based Syst., 2018

Assigning reliability values to recommendations using matrix factorization.

Bo Zhu, Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez

J. Comput. Sci., 2018

Reliability quality measures for recommender systems.

Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu

Inf. Sci., 2018

Method to interactively visualize and navigate related information.

Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez

Expert Syst. Appl., 2018

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

Bo Zhu, Remigio Hurtado, Jesús Bobadilla, Fernando Ortega

IEEE Access, 2018

Recommendation to Groups of Users Using the Singularities Concept.

Fernando Ortega, Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque

IEEE Access, 2018

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems.

Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, Remigio Hurtado, Xin Li

IEEE Access, 2018

Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization.

Jesús Bobadilla, Rodolfo Bojorque, Antonio Hernando, Remigio Hurtado

IEEE Access, 2018

2017

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

Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez

Inf. Sci., 2017

2016

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

Antonio Hernando, Jesús Bobadilla, Fernando Ortega

Knowl. Based Syst., 2016

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

Fernando Ortega, Antonio Hernando, Jesús Bobadilla, Jeon-Hyung Kang

Inf. Sci., 2016

2014

Hierarchical graph maps for visualization of collaborative recommender systems.

Antonio Hernando, Ricardo Moya, Fernando Ortega, Jesús Bobadilla

J. Inf. Sci., 2014

Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations.

Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Fernando Rodríguez

Int. J. Intell. Syst., 2014

2013

A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm.

Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Guillermo Glez. de Rivera

Knowl. Based Syst., 2013

Recommender systems survey.

Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Abraham Gutiérrez

Knowl. Based Syst., 2013

Improving collaborative filtering-based recommender systems results using Pareto dominance.

Fernando Ortega, José Luis Sánchez, Jesús Bobadilla, Abraham Gutiérrez

Inf. Sci., 2013

Incorporating reliability measurements into the predictions of a recommender system.

Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Jorge Tejedor

Inf. Sci., 2013

Trees for explaining recommendations made through collaborative filtering.

Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez

Inf. Sci., 2013

Incorporating group recommendations to recommender systems: Alternatives and performance.

Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Abraham Gutiérrez

Inf. Process. Manag., 2013

2012

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

Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal

Knowl. Based Syst., 2012

Collaborative filtering based on significances.

Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Abraham Gutiérrez

Inf. Sci., 2012

A collaborative filtering similarity measure based on singularities.

Jesús Bobadilla, Fernando Ortega, Antonio Hernando

Inf. Process. Manag., 2012

A balanced memory-based collaborative filtering similarity measure.

Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Angel Arroyo

Int. J. Intell. Syst., 2012

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

Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal

Expert Syst. Appl., 2012

2011

Improving collaborative filtering recommender system results and performance using genetic algorithms.

Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Javier Alcalá

Knowl. Based Syst., 2011

A framework for collaborative filtering recommender systems.

Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Jesus Bernal

Expert Syst. Appl., 2011

e-learning experience using recommender systems.

Jesús Bobadilla, Antonio Hernando, Angel Arroyo

Proceedings of the 42nd ACM technical symposium on Computer science education, 2011

Extended Precision Quality Measure for Recommender Systems.

Fernando Ortega, Antonio Hernando, Jesús Bobadilla

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Collaborative Filtering Based on Choosing a Different Number of Neighbors for Each User.

Antonio Hernando, Jesús Bobadilla, Francisco Serradilla

Proceedings of the Handbook of Social Network Technologies and Applications, 2010

A new collaborative filtering metric that improves the behavior of recommender systems.

Jesús Bobadilla, Francisco Serradilla, Jesus Bernal

Knowl. Based Syst., 2010

2009

Collaborative filtering adapted to recommender systems of e-learning.

Jesús Bobadilla, Francisco Serradilla, Antonio Hernando

Knowl. Based Syst., 2009

Reducing Recommender Systems Data Base Sizes and Improving their Accuracy.

Jesús Bobadilla, Francisco Serradilla, Luis F. Mingo

Proceedings of the 2009 International Conference on Internet Computing, 2009

The Effect of Sparsity on Collaborative Filtering Metrics.

Jesús Bobadilla, Francisco Serradilla

Proceedings of the Database Technologies 2009, 2009

2007

Mapaci: A Real Time e-Health Application to Assist Throat Complaint Patients.

Jesús Bobadilla, Pedro Gomez, Juan Ignacio Godino-Llorente

Proceedings of the International Conference on Internet and Web Applications and Services (ICIW 2007), 2007

2004

New Speech Enhancement Approach for Formant Evolution Detection.

Jesús Bobadilla

Proceedings of the Text, Speech and Dialogue, 7th International Conference, 2004

Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing.

Jesús Bobadilla, Luis Mengual

Proceedings of the Advances in Artificial Intelligence, 2004

Cooperative Visualization Framework Based on Video Streaming and Real-Time Vectorial Information.

Jesús Bobadilla, Luis Mengual

Proceedings of the Cooperative Design, 2004

A Fuzzy Multi-agent System for Secure Remote Control of a Mobile Guard Robot.

Luis Mengual, Jesús Bobadilla, Gracián Triviño

Proceedings of the Advances in Web Intelligence, 2004

1995

Estimation of speech formant-dynamics using neural networks.

Pedro Gómez, Victoria Rodellar, Agustín Álvarez, Jesús Bobadilla, Jesus Bernal, Victor Nieto Lluis, Mercedes Pérez

Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

1989

Desarrollo de algoritmos basados en filtrado adaptativo y su aplicación en el estudio de la fonética acústica española.

Jesús Bobadilla

PhD thesis, 1989