Jesús Bobadilla

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 38

Top Topics

Synthetic Datasets

Collaborative Filtering

Recommender Systems

Top Venues

Int. J. Interact. Multim. Artif. Intell.

Knowl. Based Syst.

Publications

Jesús Bobadilla, Abraham Gutierrez Rodriguez
Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets. Appl. Intell. 54 (3) (2024)
Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu
Reliability quality measures for recommender systems. CoRR (2024)
Jesús Bobadilla, Jorge Dueñas-Lerín, Fernando Ortega, Abraham Gutiérrez
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 8 (6) (2024)
Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando
CF4J: Collaborative Filtering for Java. CoRR (2024)
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
Neural Group Recommendation Based on a Probabilistic Semantic Aggregation. CoRR (2023)
Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks. CoRR (2023)
Jesús Bobadilla, Abraham Gutiérrez
Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research. AICCSA (2023)
Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto
Deep variational models for collaborative filtering-based recommender systems. Neural Comput. Appl. 35 (10) (2023)
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
Deep Neural Aggregation for Recommending Items to Group of Users. CoRR (2023)
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, Jesús Bobadilla
Neural group recommendation based on a probabilistic semantic aggregation. Neural Comput. Appl. 35 (19) (2023)
Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks. Knowl. Based Syst. 280 (2023)
Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. 34 (4) (2022)
Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto
Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. Int. J. Interact. Multim. Artif. Intell. 7 (4) (2022)
Jesús Bobadilla, Santiago Alonso, Abraham Gutiérrez, Álvaro González
Recommendation Versus Regression Neural Collaborative Filtering. KES-IDT (2022)
Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
Deep learning feature selection to unhide demographic recommender systems factors. Neural Comput. Appl. 33 (12) (2021)
Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6 (6) (2021)
Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. 553 (2021)
Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto
Deep Variational Models for Collaborative Filtering-based Recommender Systems. CoRR (2021)
Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6 (1) (2020)
Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR (2020)
Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, Abraham Gutiérrez
Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks. Sensors 20 (16) (2020)
Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Remigio Hurtado
A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups. Int. J. Interact. Multim. Artif. Intell. 6 (2) (2020)
Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR (2020)
Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera
Deep Learning feature selection to unhide demographic recommender systems factors. CoRR (2020)
Santiago Alonso, Jesús Bobadilla, Fernando Ortega, Ricardo Moya
Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems. IEEE Access 7 (2019)
Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study. IEEE Access 7 (2019)
Fernando Ortega, Bo Zhu, Jesús Bobadilla, Antonio Hernando
CF4J: Collaborative filtering for Java. Knowl. Based Syst. 152 (2018)
S. Gil, Jesús Bobadilla, Fernando Ortega, Bo Zhu
: Java framework for visualization of recommender systems information. Knowl. Based Syst. 155 (2018)
Jesús Bobadilla, Rodolfo Bojorque, Antonio Hernando, Remigio Hurtado
Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization. IEEE Access 6 (2018)
Fernando Ortega, Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque
Recommendation to Groups of Users Using the Singularities Concept. IEEE Access 6 (2018)
Bo Zhu, Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez
Assigning reliability values to recommendations using matrix factorization. J. Comput. Sci. 26 (2018)
Jesús Bobadilla, Abraham Gutiérrez, Fernando Ortega, Bo Zhu
Reliability quality measures for recommender systems. Inf. Sci. (2018)
Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
Method to interactively visualize and navigate related information. Expert Syst. Appl. 111 (2018)
Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, Remigio Hurtado, Xin Li
Artificial Intelligence Scientific Documentation Dataset for Recommender Systems. IEEE Access 6 (2018)
Bo Zhu, Remigio Hurtado, Jesús Bobadilla, Fernando Ortega
An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings. IEEE Access 6 (2018)
Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
A probabilistic model for recommending to new cold-start non-registered users. Inf. Sci. 376 (2017)
Antonio Hernando, Jesús Bobadilla, Fernando Ortega
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model. Knowl. Based Syst. 97 (2016)
Fernando Ortega, Antonio Hernando, Jesús Bobadilla, Jeon-Hyung Kang
Recommending items to group of users using Matrix Factorization based Collaborative Filtering. Inf. Sci. 345 (2016)
Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Fernando Rodríguez
Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations. Int. J. Intell. Syst. 29 (5) (2014)
Antonio Hernando, Ricardo Moya, Fernando Ortega, Jesús Bobadilla
Hierarchical graph maps for visualization of collaborative recommender systems. J. Inf. Sci. 40 (1) (2014)
Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Jorge Tejedor
Incorporating reliability measurements into the predictions of a recommender system. Inf. Sci. 218 (2013)
Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez
Trees for explaining recommendations made through collaborative filtering. Inf. Sci. 239 (2013)
Fernando Ortega, Jesús Bobadilla, Antonio Hernando, Abraham Gutiérrez
Incorporating group recommendations to recommender systems: Alternatives and performance. Inf. Process. Manag. 49 (4) (2013)
Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Abraham Gutiérrez
Recommender systems survey. Knowl. Based Syst. 46 (2013)
Fernando Ortega, José Luis Sánchez, Jesús Bobadilla, Abraham Gutiérrez
Improving collaborative filtering-based recommender systems results using Pareto dominance. Inf. Sci. 239 (2013)
Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Guillermo Glez. de Rivera
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm. Knowl. Based Syst. 51 (2013)
Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Angel Arroyo
A balanced memory-based collaborative filtering similarity measure. Int. J. Intell. Syst. 27 (10) (2012)
Jesús Bobadilla, Fernando Ortega, Antonio Hernando
A collaborative filtering similarity measure based on singularities. Inf. Process. Manag. 48 (2) (2012)
Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal
Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items. Expert Syst. Appl. 39 (1) (2012)
Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Jesus Bernal
A collaborative filtering approach to mitigate the new user cold start problem. Knowl. Based Syst. 26 (2012)
Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Abraham Gutiérrez
Collaborative filtering based on significances. Inf. Sci. 185 (1) (2012)
Jesús Bobadilla, Antonio Hernando, Fernando Ortega, Jesus Bernal
A framework for collaborative filtering recommender systems. Expert Syst. Appl. 38 (12) (2011)
Fernando Ortega, Antonio Hernando, Jesús Bobadilla
Extended Precision Quality Measure for Recommender Systems. CAEPIA (2011)
Jesús Bobadilla, Fernando Ortega, Antonio Hernando, Javier Alcalá
Improving collaborative filtering recommender system results and performance using genetic algorithms. Knowl. Based Syst. 24 (8) (2011)
Jesús Bobadilla, Antonio Hernando, Angel Arroyo
e-learning experience using recommender systems. SIGCSE (2011)
Jesús Bobadilla, Francisco Serradilla, Jesus Bernal
A new collaborative filtering metric that improves the behavior of recommender systems. Knowl. Based Syst. 23 (6) (2010)
Jesús Bobadilla, Francisco Serradilla
The Effect of Sparsity on Collaborative Filtering Metrics. ADC (2009)
Jesús Bobadilla, Francisco Serradilla, Antonio Hernando
Collaborative filtering adapted to recommender systems of e-learning. Knowl. Based Syst. 22 (4) (2009)
Jesús Bobadilla, Francisco Serradilla, Luis F. Mingo
Reducing Recommender Systems Data Base Sizes and Improving their Accuracy. International Conference on Internet Computing (2009)
Jesús Bobadilla, Pedro Gomez, Juan Ignacio Godino-Llorente
Mapaci: A Real Time e-Health Application to Assist Throat Complaint Patients. ICIW (2007)
Luis Mengual, Jesús Bobadilla, Gracián Triviño
A Fuzzy Multi-agent System for Secure Remote Control of a Mobile Guard Robot. AWIC (2004)
Jesús Bobadilla
New Speech Enhancement Approach for Formant Evolution Detection. TSD (2004)
Jesús Bobadilla, Luis Mengual
Cooperative Visualization Framework Based on Video Streaming and Real-Time Vectorial Information. CDVE (2004)
Jesús Bobadilla, Luis Mengual
Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing. IBERAMIA (2004)
Pedro Gómez, Victoria Rodellar, Agustín Álvarez, Jesús Bobadilla, Jesus Bernal, Victor Nieto Lluis, Mercedes Pérez
Estimation of speech formant-dynamics using neural networks. EUROSPEECH (1995)