| Reducing cold start problems in educational recommender systems S Kuznetsov, P Kordík, T Řehořek, J Dvořák, P Kroha 2016 International Joint Conference on Neural Networks (IJCNN), 3143-3149, 2016 | 15 | 2016 |
| Datový sklad fakulty S Kuznetsov České vysoké učení technické v Praze. Vypočetní a informační centrum., 2013 | 13 | 2013 |
| Overcoming the cold-start problem in recommendation systems with ontologies and knowledge graphs S Kuznetsov, P Kordík European Conference on Advances in Databases and Information Systems, 591-603, 2023 | 3 | 2023 |
| Mining skills from educational data for project recommendations P Kordík, S Kuznetsov Computational Intelligence in Security for Information Systems Conference …, 2015 | 3 | 2015 |
| Improving recommendation diversity and serendipity with an ontology-based algorithm for cold start environments S Kuznetsov, P Kordík International Journal of Data Science and Analytics, 1-13, 2023 | 1 | 2023 |
| Personalised Recommendations and Profile Based Re-ranking Improve Distribution of Student Opportunities Č Žid, P Kordík, S Kuznetsov Computational Intelligence in Security for Information Systems Conference …, 2023 | | 2023 |
| Offline evaluation of the serendipity in recommendation systems D Pastukhov, S Kuznetsov, V Vančura, P Kordík 2022 IEEE 17th International Conference on Computer Sciences and Information …, 2022 | | 2022 |
| Utilizing educational data in collaboration with industry P Kordık, S Kuznetsov | | |
Pavel KordíkCzech Technical University in Prague, Faculty of Information TechnologyVerified email at fit.cvut.cz
