The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction

@article{Ferro2018TheDP,
  title={The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction},
  author={N. Ferro and N. Fuhr and G. Grefenstette and J. Konstan and P. Castells and E. Daly and Thierry Declerck and Michael D. Ekstrand and Werner Geyer and J. Gonzalo and T. Kuflik and Krister Lind{\'e}n and B. Magnini and Jian-Yun Nie and R. Perego and Bracha Shapira and I. Soboroff and N. Tintarev and Karin M. Verspoor and M. Willemsen and J. Zobel},
  journal={SIGIR Forum},
  year={2018},
  volume={52},
  pages={91-101}
}
This paper reports the findings of the Dagstuhl Perspectives Workshop 17442 on performance modeling and prediction in the domains of Information Retrieval, Natural language Processing and Recommender Systems. We present a framework for further research, which identifies five major problem areas: understanding measures, performance analysis, making underlying assumptions explicit, identifying application features determining performance, and the development of prediction models describing the… Expand
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