Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?

Jöran Beel, Victor Brunel. Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?. In Marko Tkalcic, Sole Pera, editors, Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019. Volume 2431 of CEUR Workshop Proceedings, pages 26-30, CEUR-WS.org, 2019. [doi]

@inproceedings{BeelB19,
  title = {Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?},
  author = {Jöran Beel and Victor Brunel},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2431/paper6.pdf},
  researchr = {https://researchr.org/publication/BeelB19},
  cites = {0},
  citedby = {0},
  pages = {26-30},
  booktitle = {Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019},
  editor = {Marko Tkalcic and Sole Pera},
  volume = {2431},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}