Jesús Bobadilla

Orcid: 0000-0003-0619-1322

According to our database1, Jesús Bobadilla authored at least 59 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets.
Appl. Intell., February, 2024

Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks.
Knowl. Based Syst., November, 2023

Neural group recommendation based on a probabilistic semantic aggregation.
Neural Comput. Appl., July, 2023

Deep variational models for collaborative filtering-based recommender systems.
Neural Comput. Appl., April, 2023

Deep Neural Aggregation for Recommending Items to Group of Users.
CoRR, 2023

Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

Deep learning approach to obtain collaborative filtering neighborhoods.
Neural Comput. Appl., 2022

Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities.
Int. J. Interact. Multim. Artif. Intell., 2022

Recommendation Versus Regression Neural Collaborative Filtering.
Proceedings of the Intelligent Decision Technologies, 2022

Deep learning feature selection to unhide demographic recommender systems factors.
Neural Comput. Appl., 2021

Providing reliability in recommender systems through Bernoulli Matrix Factorization.
Inf. Sci., 2021

DeepFair: Deep Learning for Improving Fairness in Recommender Systems.
Int. J. Interact. Multim. Artif. Intell., 2021

Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks.
Sensors, 2020

Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems.
Int. J. Interact. Multim. Artif. Intell., 2020

A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups.
Int. J. Interact. Multim. Artif. Intell., 2020

MaliciousML: MovieLens dataset attacked with diverse profile injection attacks.
Dataset, February, 2019

A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study.
IEEE Access, 2019

Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems.
IEEE Access, 2019

CF4J: Collaborative filtering for Java.
Knowl. Based Syst., 2018

<i>VisualRS</i>: Java framework for visualization of recommender systems information.
Knowl. Based Syst., 2018

Assigning reliability values to recommendations using matrix factorization.
J. Comput. Sci., 2018

Reliability quality measures for recommender systems.
Inf. Sci., 2018

Method to interactively visualize and navigate related information.
Expert Syst. Appl., 2018

An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings.
IEEE Access, 2018

Recommendation to Groups of Users Using the Singularities Concept.
IEEE Access, 2018

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems.
IEEE Access, 2018

Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization.
IEEE Access, 2018

A probabilistic model for recommending to new cold-start non-registered users.
Inf. Sci., 2017

A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model.
Knowl. Based Syst., 2016

Recommending items to group of users using Matrix Factorization based Collaborative Filtering.
Inf. Sci., 2016

Hierarchical graph maps for visualization of collaborative recommender systems.
J. Inf. Sci., 2014

Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations.
Int. J. Intell. Syst., 2014

A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm.
Knowl. Based Syst., 2013

Recommender systems survey.
Knowl. Based Syst., 2013

Improving collaborative filtering-based recommender systems results using Pareto dominance.
Inf. Sci., 2013

Incorporating reliability measurements into the predictions of a recommender system.
Inf. Sci., 2013

Trees for explaining recommendations made through collaborative filtering.
Inf. Sci., 2013

Incorporating group recommendations to recommender systems: Alternatives and performance.
Inf. Process. Manag., 2013

A collaborative filtering approach to mitigate the new user cold start problem.
Knowl. Based Syst., 2012

Collaborative filtering based on significances.
Inf. Sci., 2012

A collaborative filtering similarity measure based on singularities.
Inf. Process. Manag., 2012

A balanced memory-based collaborative filtering similarity measure.
Int. J. Intell. Syst., 2012

Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items.
Expert Syst. Appl., 2012

Improving collaborative filtering recommender system results and performance using genetic algorithms.
Knowl. Based Syst., 2011

A framework for collaborative filtering recommender systems.
Expert Syst. Appl., 2011

e-learning experience using recommender systems.
Proceedings of the 42nd ACM technical symposium on Computer science education, 2011

Extended Precision Quality Measure for Recommender Systems.
Proceedings of the Advances in Artificial Intelligence, 2011

Collaborative Filtering Based on Choosing a Different Number of Neighbors for Each User.
Proceedings of the Handbook of Social Network Technologies and Applications, 2010

A new collaborative filtering metric that improves the behavior of recommender systems.
Knowl. Based Syst., 2010

Collaborative filtering adapted to recommender systems of e-learning.
Knowl. Based Syst., 2009

Reducing Recommender Systems Data Base Sizes and Improving their Accuracy.
Proceedings of the 2009 International Conference on Internet Computing, 2009

The Effect of Sparsity on Collaborative Filtering Metrics.
Proceedings of the Database Technologies 2009, 2009

Mapaci: A Real Time e-Health Application to Assist Throat Complaint Patients.
Proceedings of the International Conference on Internet and Web Applications and Services (ICIW 2007), 2007

New Speech Enhancement Approach for Formant Evolution Detection.
Proceedings of the Text, Speech and Dialogue, 7th International Conference, 2004

Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing.
Proceedings of the Advances in Artificial Intelligence, 2004

Cooperative Visualization Framework Based on Video Streaming and Real-Time Vectorial Information.
Proceedings of the Cooperative Design, 2004

A Fuzzy Multi-agent System for Secure Remote Control of a Mobile Guard Robot.
Proceedings of the Advances in Web Intelligence, 2004

Estimation of speech formant-dynamics using neural networks.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

Desarrollo de algoritmos basados en filtrado adaptativo y su aplicación en el estudio de la fonética acústica española.
PhD thesis, 1989