Javier Parapar
Javier Parapar
Information Retrieval Lab - CITIC - University of A Coruña
Verified email at udc.es - Homepage
TitleCited byYear
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
792012
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
442017
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
392018
Relevance-based language modelling for recommender systems
J Parapar, A Bellogín, P Castells, Á Barreiro
Information Processing & Management 49 (4), 966-980, 2013
372013
Score distributions for pseudo relevance feedback
J Parapar, MA Presedo-Quindimil, Á Barreiro
Information Sciences 273, 171-181, 2014
252014
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
242012
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
222016
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
202016
Writing science, compiling science: The Coruña Corpus of English Scientific Writing
I Moskowich, J Parapar
Universidade da Coruña, 2008
182008
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
172019
CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations.
DE Losada, F Crestani, J Parapar
CLEF (Working Notes), 2017
172017
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
162016
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
152009
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
142008
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
132018
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
132017
Language models for collaborative filtering neighbourhoods
D Valcarce, J Parapar, Á Barreiro
European Conference on Information Retrieval, 614-625, 2016
132016
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
132015
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
132012
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