Title
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction.
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.
Year
Venue
Field
2018
SIGIR Forum
Data science,Recommender system,Information retrieval,Computer science,Predictive modelling
DocType
Volume
Issue
Journal
52
1
Citations 
PageRank 
References 
2
0.49
14
Authors
21
Name
Order
Citations
PageRank
nicola ferro11152133.18
Norbert Fuhr23496939.53
Gregory Grefenstette31129147.00
Joseph A. Konstan4154181314.61
Pablo Castells521.51
Elizabeth Daly686.43
Thierry Declerck730965.24
Michael D. Ekstrand845635.67
Werner Geyer9128987.53
Julio Gonzalo101857180.68
Tsvi Kuflik111280111.75
Krister Lindén1213625.44
Bernardo Magnini132027226.13
Jian-yun Nie143681238.61
Raffaele Perego151471108.91
Bracha Shapira16105885.76
Ian Soboroff171907218.39
Nava Tintarev1842842.25
Karin Verspoor1999378.54
Martijn C. Willemsen2047032.83
Justin Zobel216882880.46