Evaluating Strategies for Selecting Test Datasets in Recommender Systems

Francisco Pajuelo-Holguera, Juan Antonio Gómez Pulido, Fernando Ortega 0001. Evaluating Strategies for Selecting Test Datasets in Recommender Systems. In Hilde Pérez García, Lidia Sánchez-González, Manuel Castejón Limas, Héctor Quintián-Pardo, Emilio S. Corchado Rodríguez, editors, Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings. Volume 11734 of Lecture Notes in Computer Science, pages 243-253, Springer, 2019. [doi]

@inproceedings{Pajuelo-Holguera19,
  title = {Evaluating Strategies for Selecting Test Datasets in Recommender Systems},
  author = {Francisco Pajuelo-Holguera and Juan Antonio Gómez Pulido and Fernando Ortega 0001},
  year = {2019},
  doi = {10.1007/978-3-030-29859-3_21},
  url = {https://doi.org/10.1007/978-3-030-29859-3_21},
  researchr = {https://researchr.org/publication/Pajuelo-Holguera19},
  cites = {0},
  citedby = {0},
  pages = {243-253},
  booktitle = {Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings},
  editor = {Hilde Pérez García and Lidia Sánchez-González and Manuel Castejón Limas and Héctor Quintián-Pardo and Emilio S. Corchado Rodríguez},
  volume = {11734},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-29859-3},
}