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Publication Citation: Understanding TREC Results - the Role of Statistics

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Author(s): Walter S. Liggett Jr; Paul D. Over;
Title: Understanding TREC Results - the Role of Statistics
Published: August 01, 2001
Abstract: 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.
Conference: International Statistical Institute
Proceedings: Proceedings of the 53rd Session of the International Statistical Institute
Location: Seoul, KO
Dates: August 22-29, 2001
Keywords: information retrieval,multidimensional scaling,query formation,rank correlation,search engines,system evaluation
Research Areas: