Understanding TREC Results - the Role of Statistics
Walter S. Liggett Jr, Paul D. Over
The challenge in empirical development of information retrieval systems at TREC is obtaining general conclusions from IR system responses to a sample of perhaps 50 topics, that is, 50 statements of information need. Treating such a sample as a simple random sample and using a univariate performance measure to describe each search result does not provide sufficient sensitivity for many purposes. In this paper, we contend that greater sensitivity can be gained through study of the natural language basis for the dependence of system performance on topic.
Proceedings of the 53rd Session of the International Statistical Institute
August 22-29, 2001
International Statistical Institute
information retrieval, multidimensional scaling, query formation, rank correlation, search engines, system evaluation
and Over, P.
Understanding TREC Results - the Role of Statistics, Proceedings of the 53rd Session of the International Statistical Institute, Seoul, KO
(Accessed May 28, 2023)