Bracha Shapira

Senior Academic

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, 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, Justin Zobel
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
Publication language English
Pages 91-101
Journal SIGIR Forum (ACM Special Interest Group on Information Retrieval)
Volume 52
Issue number 1
Publication status Published - 31.08.2018
Article Number 1
Access to Document
10.1145/3274784.3274789 https://dblp.org/db/journals/sigir/sigir52.html#FerroFGKCDDEGGK18