| 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 | 92 | 2018 |
| Assessing ranking metrics in top-N recommendation D Valcarce, A Bellogín, J Parapar, P Castells Information Retrieval Journal 23, 411-448, 2020 | 72 | 2020 |
| Collaborative filtering embeddings for memory-based recommender systems D Valcarce, A Landin, J Parapar, Á Barreiro Engineering Applications of Artificial Intelligence 85, 347-356, 2019 | 61 | 2019 |
| 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 | 47 | 2016 |
| 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, 1-8, 2016 | 31 | 2016 |
| Language models for collaborative filtering neighbourhoods D Valcarce, J Parapar, Á Barreiro Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 26 | 2016 |
| Finding and analysing good neighbourhoods to improve collaborative filtering D Valcarce, J Parapar, Á Barreiro Knowledge-Based Systems 159, 193-202, 2018 | 22 | 2018 |
| LiMe: Linear Methods for Pseudo-Relevance Feedback D Valcarce, J Parapar, Á Barreiro Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 678-687, 2018 | 20* | 2018 |
| Exploring statistical language models for recommender systems D Valcarce Proceedings of the 9th ACM Conference on Recommender Systems, 375-378, 2015 | 18 | 2015 |
| Efficient pseudo-relevance feedback methods for collaborative filtering recommendation D Valcarce, J Parapar, Á Barreiro Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 16 | 2016 |
| Combining top-n recommenders with metasearch algorithms D Valcarce, J Parapar, Á Barreiro Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 15 | 2017 |
| A study of smoothing methods for relevance-based language modelling of recommender systems D Valcarce, J Parapar, Á Barreiro Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 15 | 2015 |
| The Coruña corpus tool: Ten years on A Barsaglini Castro, D Valcarce Procesamiento del lenguaje natural, 13-19, 2020 | 14 | 2020 |
| A study of priors for relevance-based language modelling of recommender systems D Valcarce, J Parapar, Á Barreiro Proceedings of the 9th ACM Conference on Recommender Systems, 237-240, 2015 | 12 | 2015 |
| Replacing human audio with synthetic audio for on-device unspoken punctuation prediction D Soboleva, O Skopek, M Šajgalík, V Cărbune, F Weissenberger, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| Axiomatic analysis of language modelling of recommender systems D Valcarce, J Parapar, Á Barreiro International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017 | 11 | 2017 |
| A Distributed Recommendation Platform for Big Data. D Valcarce, J Parapar, A Barreiro J. Univers. Comput. Sci. 21 (13), 1810-1829, 2015 | 9 | 2015 |
| A MapReduce implementation of posterior probability clustering and relevance models for recommendation D Valcarce, J Parapar, Á Barreiro Engineering Applications of Artificial Intelligence 75, 114-124, 2018 | 8 | 2018 |
| When diversity met accuracy: a story of recommender systems A Landin, E Suárez-García, D Valcarce Proceedings 2 (18), 1178, 2018 | 7 | 2018 |
| PRIN: A Probabilistic Recommender with Item Priors and Neural Models A Landin, D Valcarce, J Parapar, Á Barreiro | 5 | 2019 |
Javier ParaparInformation Retrieval Lab - CITIC - University of A CoruñaVerified email at udc.es
