Towards reproducibility in recommender-systems research

@article{Beel2016TowardsRI,
  title={Towards reproducibility in recommender-systems research},
  author={J. Beel and Corinna Breitinger and S. Langer and A. Lommatzsch and Bela Gipp},
  journal={User Modeling and User-Adapted Interaction},
  year={2016},
  volume={26},
  pages={69-101}
}
  • J. Beel, Corinna Breitinger, +2 authors Bela Gipp
  • Published 2016
  • Computer Science
  • User Modeling and User-Adapted Interaction
  • Numerous recommendation approaches are in use today. However, comparing their effectiveness is a challenging task because evaluation results are rarely reproducible. In this article, we examine the challenge of reproducibility in recommender-system research. We conduct experiments using Plista’s news recommender system, and Docear’s research-paper recommender system. The experiments show that there are large discrepancies in the effectiveness of identical recommendation approaches in only… CONTINUE READING
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