J. Bobadilla

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..

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

Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, 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.

Analysis of scientific production based on trending research topics . An Artificial Intelligence case study

M. A. Patricio, J. Bobadilla, A. Gutiérrez, 2019 .

Reducing Recommender Systems Data Base Sizes and Improving their Accuracy

Jesús Bobadilla, Francisco Serradilla, Luis Fernando de Mingo López, 2009, International Conference on Internet Computing.

Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities

Ángel González-Prieto, Jesús Bobadilla, Abraham Gutiérrez, 2022, Int. J. Interact. Multim. Artif. Intell..

Deep learning feature selection to unhide demographic recommender systems factors

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

Collaborative filtering adapted to recommender systems of e-learning

Antonio Hernando, Jesús Bobadilla, Francisco Serradilla, 2009, 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..

Improving collaborative filtering recommender system results and performance using genetic algorithms

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

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..

Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks

J. Bobadilla, Raciel Yera, Abraham Guti'errez, 2023, Knowledge-Based Systems.

Deep Learning Architecture for Collaborative Filtering Recommender Systems

Jesús Bobadilla, Santiago Alonso, Antonio Hernando, 2020, Applied Sciences.

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..

A Hybrid Approach of Recommendation via Extended Matrix Based on Collaborative Filtering with Demographics Information

Jesús Bobadilla, Priscila Valdiviezo-Diaz, J. Bobadilla, 2018, Communications in Computer and Information Science.

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..

Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization

Jesús Bobadilla, Remigio Hurtado, Rodolfo Bojorque, 2018, IEEE Access.

A collaborative filtering similarity measure based on singularities

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

Deep learning approach to obtain collaborative filtering neighborhoods

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

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..

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

Jesús Bobadilla, Francisco Serradilla, Jesus Bernal, 2010, Knowl. Based Syst..

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..

The Effect of Sparsity on Collaborative Filtering Metrics

Jesús Bobadilla, Francisco Serradilla, J. Bobadilla, 2009, ADC.

DeepFair: Deep Learning for Improving Fairness in Recommender Systems pdf

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

Choice of metrics used in collaborative filtering and their impact on recommender systems

F. Serradilla, J. Bobadilla, J.L. Sanchez, 2008, 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies.

Particle swarm optimization models applied to neural networks using the R language

Jesús Bobadilla, Luis F. Mingo, Francisco Serradilla, 2010 .

Deep variational models for collaborative filtering-based recommender systems pdf

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

Recommender systems: Improving collaborative filtering results

J. Bobadilla, F. Serradilla, A. Gutierrez, 2009, 2009 7th International Conference on ICT and Knowledge Engineering.

Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations

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

Extended Precision Quality Measure for Recommender Systems

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

e-learning experience using recommender systems

Antonio Hernando, Jesús Bobadilla, Angel Arroyo, 2011, SIGCSE.

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

Antonio Hernando, Jesús Bobadilla, Francisco Serradilla, 2010, Handbook of Social Network Technologies.

Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets

J. Bobadilla, Abraham Gutiérrez, 2024, Applied Intelligence.