PRIN: A Probabilistic Recommender with Item Priors and Neural Models

Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro. PRIN: A Probabilistic Recommender with Item Priors and Neural Models. In Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, Djoerd Hiemstra, editors, Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I. Volume 11437 of Lecture Notes in Computer Science, pages 133-147, Springer, 2019. [doi]

@inproceedings{LandinVPB19,
  title = {PRIN: A Probabilistic Recommender with Item Priors and Neural Models},
  author = {Alfonso Landin and Daniel Valcarce and Javier Parapar and Álvaro Barreiro},
  year = {2019},
  doi = {10.1007/978-3-030-15712-8_9},
  url = {https://doi.org/10.1007/978-3-030-15712-8_9},
  researchr = {https://researchr.org/publication/LandinVPB19},
  cites = {0},
  citedby = {0},
  pages = {133-147},
  booktitle = {Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I},
  editor = {Leif Azzopardi and Benno Stein and Norbert Fuhr and Philipp Mayr and Claudia Hauff and Djoerd Hiemstra},
  volume = {11437},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-15712-8},
}