| Recommender systems survey J Bobadilla, F Ortega, A Hernando, A Gutiérrez Knowledge-based systems 46, 109-132, 2013 | 1967 | 2013 |
| A collaborative filtering approach to mitigate the new user cold start problem JS Bobadilla, F Ortega, A Hernando, JS Bernal Knowledge-Based Systems 26, 225-238, 2012 | 339 | 2012 |
| 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 | 203 | 2011 |
| A collaborative filtering similarity measure based on singularities J Bobadilla, F Ortega, A Hernando Information Processing & Management 48 (2), 204-217, 2012 | 151 | 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 | 144 | 2016 |
| Collaborative filtering based on significances J Bobadilla, A Hernando, F Ortega, A Gutiérrez Information Sciences 185 (1), 1-17, 2012 | 115 | 2012 |
| A framework for collaborative filtering recommender systems J Bobadilla, A Hernando, F Ortega, J Bernal Expert Systems with Applications 38 (12), 14609-14623, 2011 | 110 | 2011 |
| 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 | 76 | 2016 |
| Improving collaborative filtering-based recommender systems results using Pareto dominance F Ortega, JL SáNchez, JS Bobadilla, A GutiéRrez Information Sciences 239, 50-61, 2013 | 70 | 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 | 52 | 2012 |
| 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 | 51 | 2013 |
| Incorporating reliability measurements into the predictions of a recommender system A Hernando, JS Bobadilla, F Ortega, J Tejedor Information Sciences 218, 1-16, 2013 | 51 | 2013 |
| 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 | 36 | 2013 |
| Trees for explaining recommendations made through collaborative filtering A Hernando, JS Bobadilla, F Ortega, A GutiéRrez Information Sciences 239, 1-17, 2013 | 34 | 2013 |
| A balanced memory‐based collaborative filtering similarity measure J Bobadilla, F Ortega, A Hernando, Á Arroyo International journal of intelligent systems 27 (10), 939-946, 2012 | 24 | 2012 |
| Hierarchical graph maps for visualization of collaborative recommender systems A Hernando, R Moya, F Ortega, J Bobadilla Journal of Information Science 40 (1), 97-106, 2014 | 19 | 2014 |
| 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 | 15 | 2017 |
| CF4J: Collaborative filtering for Java F Ortega, B Zhu, J Bobadilla, A Hernando Knowledge-Based Systems 152, 94-99, 2018 | 14 | 2018 |
| Reliability quality measures for recommender systems J Bobadilla, A Gutiérrez, F Ortega, B Zhu Information Sciences 442, 145-157, 2018 | 11 | 2018 |
| Using hierarchical graph maps to explain collaborative filtering recommendations F Ortega, J Bobadilla, A Hernando, F Rodríguez International Journal of Intelligent Systems 29 (5), 462-477, 2014 | 7 | 2014 |
Jesus BobadillaUniversidad Politécnica de MadridVerified email at upm.es
