| 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 |
| 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 European Conference on Information Retrieval, 133-147, 2019 | 5 | 2019 |
| Novel and diverse recommendations by leveraging linear models with user and item embeddings A Landin, J Parapar, Á Barreiro European Conference on Information Retrieval, 215-222, 2020 | 2 | 2020 |
| Term Association Measures for Memory-based Recommender Systems E Suárez-García, A Landin, D Valcarce, Á Barreiro Proceedings of the 5th Spanish Conference on Information Retrieval, 1-8, 2018 | 1 | 2018 |
| Shallow Neural Models for Top-N Recommendation A Landin, D Valcarce, J Parapar, Á Barreiro ECAI 2020, 2911-2912, 2020 | | 2020 |
| Priors for Diversity and Novelty on Neural Recommender Systems A Landin, D Valcarce, J Parapar, Á Barreiro Proceedings 21 (1), 20, 2019 | | 2019 |
| Learning User and Item Representations for Recommender Systems A Landin Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | | 2019 |
Daniel ValcarceGoogleDirección de correo verificada de google.com
