A Survey of Accuracy Evaluation Metrics of Recommendation Tasks

@article{Gunawardana2009ASO,
  title={A Survey of Accuracy Evaluation Metrics of Recommendation Tasks},
  author={Asela Gunawardana and Guy Shani},
  journal={Journal of Machine Learning Research},
  year={2009},
  volume={10},
  pages={2935-2962}
}
Recommender systems are now popular both commercially and in the research commun ity, where many algorithms have been suggested for providing recommen dations. These algorithms typically perform differently in various domains and tasks. Therefor , it is important from the research perspective, as well as from a practical view, to be able to de cide on an algorithm that matches the domain and the task of interest. The standard way to make s uch decisions is by comparing a number of algorithms… CONTINUE READING

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