Affiliation:
1. The Univ. of Michigan, Ann Arbor
2. The Univ. of California, Berkeley
Abstract
An evaluation of a large, operational full-text document-retrieval system (containing roughly 350,000 pages of text) shows the system to be retrieving less than 20 percent of the documents relevant to a particular search. The findings are discussed in terms of the theory and practice of full-text document retrieval.
Publisher
Association for Computing Machinery (ACM)
Reference8 articles.
1. Searching biases in large interactive document retrieval systems
2. Automatic Text Analysis
3. A review of and a framework for thinking on the notion in information science. I. Am. Sm. In/;Saracevic T.;Sri.,1975
Cited by
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