Analysis of Search Key Retrieval on a Large Bibliographic File

Gerry D. Guthrie, Steven D. Slifko

Abstract


Two search keys (4,5 and 3,3) are aMlyzed using a probability formula on a bibliographic file of 857,725 records. Assuming random requests by record permits the creation of a predictive model which more closely approximates the actual behavior of a search and retrieval system as determined by a usage survey.


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DOI: https://doi.org/10.6017/ital.v5i2.5733

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License URL: http://creativecommons.org/licenses/by/3.0/

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ISSN:2163-5226

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