Recommender systems survey J Bobadilla, F Ortega, A Hernando, A Gutiérrez Knowledge-based systems 46, 109-132, 2013 | 4051 | 2013 |
A collaborative filtering approach to mitigate the new user cold start problem JS Bobadilla, F Ortega, A Hernando, J Bernal Knowledge-based systems 26, 225-238, 2012 | 674 | 2012 |
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model A Hernando, J Bobadilla, F Ortega Knowledge-Based Systems 97, 188-202, 2016 | 346 | 2016 |
Improving collaborative filtering recommender system results and performance using genetic algorithms J Bobadilla, F Ortega, A Hernando, J Alcalá Knowledge-based systems 24 (8), 1310-1316, 2011 | 339 | 2011 |
A collaborative filtering similarity measure based on singularities J Bobadilla, F Ortega, A Hernando Information Processing & Management 48 (2), 204-217, 2012 | 222 | 2012 |
Recommending items to group of users using matrix factorization based collaborative filtering F Ortega, A Hernando, J Bobadilla, JH Kang Information Sciences 345, 313-324, 2016 | 213 | 2016 |
A framework for collaborative filtering recommender systems J Bobadilla, A Hernando, F Ortega, J Bernal Expert Systems with Applications 38 (12), 14609-14623, 2011 | 206 | 2011 |
Collaborative filtering based on significances J Bobadilla, A Hernando, F Ortega, A Gutiérrez Information Sciences 185 (1), 1-17, 2012 | 187 | 2012 |
Improving collaborative filtering-based recommender systems results using Pareto dominance F Ortega, JL Sanchez, JS Bobadilla, A Gutierrez Information Sciences 239, 50-61, 2013 | 108 | 2013 |
A collaborative filtering approach based on Naïve Bayes classifier P Valdiviezo-Diaz, F Ortega, E Cobos, R Lara-Cabrera IEEE Access 7, 108581-108592, 2019 | 103 | 2019 |
Incorporating reliability measurements into the predictions of a recommender system A Hernando, J Bobadilla, F Ortega, J Tejedor Information Sciences 218, 1-16, 2013 | 83 | 2013 |
Incorporating group recommendations to recommender systems: Alternatives and performance F Ortega, J Bobadilla, A Hernando, A Gutiérrez Information Processing & Management 49 (4), 895-901, 2013 | 73 | 2013 |
Classification-based deep neural network architecture for collaborative filtering recommender systems J Bobadilla, F Ortega, A Gutiérrez, S Alonso International Journal of Interactive Multimedia and Artificial Intelligence …, 2020 | 65 | 2020 |
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm J Bobadilla, F Ortega, A Hernando, G Glez-de-Rivera Knowledge-Based Systems 51, 27-34, 2013 | 62 | 2013 |
Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items J Bobadilla, F Ortega, A Hernando, J Bernal Expert systems with Applications 39 (1), 172-186, 2012 | 59 | 2012 |
Deepfair: deep learning for improving fairness in recommender systems J Bobadilla, R Lara-Cabrera, Á González-Prieto, F Ortega arXiv preprint arXiv:2006.05255, 2020 | 56 | 2020 |
CF4J: Collaborative filtering for Java F Ortega, B Zhu, J Bobadilla, A Hernando Knowledge-Based Systems 152, 94-99, 2018 | 53 | 2018 |
Robust model-based reliability approach to tackle shilling attacks in collaborative filtering recommender systems S Alonso, J Bobadilla, F Ortega, R Moya IEEE access 7, 41782-41798, 2019 | 49 | 2019 |
Reliability quality measures for recommender systems J Bobadilla, A Gutierrez, F Ortega, B Zhu Information Sciences 442, 145-157, 2018 | 48 | 2018 |
A probabilistic model for recommending to new cold-start non-registered users A Hernando, J Bobadilla, F Ortega, A Gutiérrez Information Sciences 376, 216-232, 2017 | 48 | 2017 |