Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, and Justin Zobel. 2018. “The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction”. The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. SIGIR Forum 52(1) (June 2018), 91–101.
This paper reports the ﬁndings of the Dagstuhl Perspectives Workshop 17442 on perfor-mance model i n g and prediction in the domains of Information Retrieval, Natural languageProcessing and Recommender Systems. We present a framework f or further research, whichidentiﬁes ﬁve major problem areas: understanding measures, performance analysis, makingunderlying assumptions explicit, identifying application features determining performance,and the development of prediction models describing the relationship between assumptions,features and resulting performance.