ברכה שפירא

אקדמי בכיר

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
שפת פרסום אנגלית
דפים 91-101
כתב עת SIGIR Forum (ACM Special Interest Group on Information Retrieval)
כרך 52
נושא מספר 1
סטטוס פרסום פורסם - 31.08.2018
מספר מאמר 1
גישה למסמך
10.1145/3274784.3274789 https://dblp.org/db/journals/sigir/sigir52.html#FerroFGKCDDEGGK18