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Journal article
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction
ACM SIGIR Forum, v 52(1), pp 91-101
31 Aug 2018
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.
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Details
- Title
- The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction
- Creators
- Nicola FerroNorbert FuhrGregory GrefenstetteJoseph KonstanPablo CastellsElizabeth DalyThierry DeclerckMichael EkstrandWerner GeyerJulio GonzaloTsvi KuflikKrister LindnBernardo MagniniJian-Yun NieRaffaele PeregoBracha ShapiraIan SoboroffNava TintarevKarin VerspoorMartijn WillemsenJustin Zobel
- Publication Details
- ACM SIGIR Forum, v 52(1), pp 91-101
- Publisher
- ACM
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991021818387404721