The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction

Nicola Ferro; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan; Pablo Castells; Elizabeth M. Daly; Thierry Declerck; Michael D. Ekstrand; Nava Tintarev; null More Authors

doi:10.1145/3274784.3274789

The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction

Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Nava Tintarev, More Authors

Web Information Systems

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

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 relationship between assumptions, features and resulting performance.

Original language	English
Pages (from-to)	91-101
Number of pages	11
Journal	ACM SIGIR Forum
Volume	52
Issue number	1
DOIs	https://doi.org/10.1145/3274784.3274789
Publication status	Published - 2018

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10.1145/3274784.3274789

45183054 - performance-prediction-irAccepted author manuscript, 224 KB

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Ferro, N., Fuhr, N., Grefenstette, G., Konstan, J. A., Castells, P., Daly, E. M., Declerck, T., Ekstrand, M. D., Tintarev, N., & More Authors (2018). The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. ACM SIGIR Forum, 52(1), 91-101. https://doi.org/10.1145/3274784.3274789

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The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. / Ferro, Nicola; Fuhr, Norbert; Grefenstette, Gregory; Konstan, Joseph A.; Castells, Pablo; Daly, Elizabeth M.; Declerck, Thierry; Ekstrand, Michael D.; Tintarev, Nava; More Authors.

In: ACM SIGIR Forum, Vol. 52, No. 1, 2018, p. 91-101.

Research output: Contribution to journal › Article › Scientific › peer-review

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AU - Daly, Elizabeth M.

AU - Declerck, Thierry

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