| Using graph partitioning techniques for neighbour selection in user-based collaborative filtering A Bellogin, J Parapar Proceedings of the sixth ACM conference on Recommender systems, 213-216, 2012 | 79 | 2012 |
| eRISK 2017: CLEF lab on early risk prediction on the internet: experimental foundations DE Losada, F Crestani, J Parapar International Conference of the Cross-Language Evaluation Forum for European …, 2017 | 44 | 2017 |
| Overview of eRisk: early risk prediction on the internet DE Losada, F Crestani, J Parapar International Conference of the Cross-Language Evaluation Forum for European …, 2018 | 39 | 2018 |
| Relevance-based language modelling for recommender systems J Parapar, A Bellogín, P Castells, Á Barreiro Information Processing & Management 49 (4), 966-980, 2013 | 37 | 2013 |
| Score distributions for pseudo relevance feedback J Parapar, MA Presedo-Quindimil, Á Barreiro Information Sciences 273, 171-181, 2014 | 25 | 2014 |
| A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs. J Parapar, DE Losada, A Barreiro CLEF (Online Working Notes/Labs/Workshop) 1178, 2012 | 24 | 2012 |
| Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation DE Losada, J Parapar, Á Barreiro proceedings of the 31st annual ACM symposium on applied computing, 1027-1034, 2016 | 22 | 2016 |
| Item-based relevance modelling of recommendations for getting rid of long tail products D Valcarce, J Parapar, Á Barreiro Knowledge-Based Systems 103, 41-51, 2016 | 20 | 2016 |
| Writing science, compiling science: The Coruña Corpus of English Scientific Writing I Moskowich, J Parapar Universidade da Coruña, 2008 | 18 | 2008 |
| Overview of eRisk 2019 Early Risk Prediction on the Internet DE Losada, F Crestani, J Parapar International Conference of the Cross-Language Evaluation Forum for European …, 2019 | 17 | 2019 |
| CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. DE Losada, F Crestani, J Parapar CLEF (Working Notes), 2017 | 17 | 2017 |
| Additive smoothing for relevance-based language modelling of recommender systems D Valcarce, J Parapar, Á Barreiro Proceedings of the 4th Spanish Conference on Information Retrieval, 9, 2016 | 16 | 2016 |
| University of Lugano at TREC 2010 M Keikha, P Mahdabi, S Gerani, G Inches, J Parapar, M Carman, ... TREC 2010, 2010 | 15* | 2010 |
| Revisiting n-gram based models for retrieval in degraded large collections J Parapar, A Freire, Á Barreiro European Conference on Information Retrieval, 680-684, 2009 | 15 | 2009 |
| Segmentation of legislative documents using a domain-specific lexicon I Hasan, J Parapar, R Blanco 2008 19th International Workshop on Database and Expert Systems Applications …, 2008 | 14 | 2008 |
| On the robustness and discriminative power of information retrieval metrics for top-n recommendation D Valcarce, A Bellogín, J Parapar, P Castells Proceedings of the 12th ACM Conference on Recommender Systems, 260-268, 2018 | 13 | 2018 |
| Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems DE Losada, J Parapar, A Barreiro Information Processing & Management 53 (5), 1005-1025, 2017 | 13 | 2017 |
| Language models for collaborative filtering neighbourhoods D Valcarce, J Parapar, Á Barreiro European Conference on Information Retrieval, 614-625, 2016 | 13 | 2016 |
| A study of smoothing methods for relevance-based language modelling of recommender systems D Valcarce, J Parapar, Á Barreiro European Conference on Information Retrieval, 346-351, 2015 | 13 | 2015 |
| Finding the Best Parameter Setting: Particle Swarm Optimisation J Parapar, MM Vidal, J Santos 2nd Spanish Conference on Information Retrieval, CERI'12, 49-60, 2012 | 13 | 2012 |
Alvaro BarreiroInformation Retrieval Lab - University of A CoruñaVerified email at udc.es
