Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions

Pablo Sánchez 0001, Alejandro Bellogín. Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions. In Sole Pera, Michael D. Ekstrand, Xavier Amatriain, John O'Donovan, editors, Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018. pages 367-371, ACM, 2018. [doi]

@inproceedings{0001B18-1,
  title = {Measuring anti-relevance: a study on when recommendation algorithms produce bad suggestions},
  author = {Pablo Sánchez 0001 and Alejandro Bellogín},
  year = {2018},
  doi = {10.1145/3240323.3240382},
  url = {https://doi.org/10.1145/3240323.3240382},
  researchr = {https://researchr.org/publication/0001B18-1},
  cites = {0},
  citedby = {0},
  pages = {367-371},
  booktitle = {Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018},
  editor = {Sole Pera and Michael D. Ekstrand and Xavier Amatriain and John O'Donovan},
  publisher = {ACM},
  isbn = {978-1-4503-5901-6},
}