On the expected gain from adjusting matched term retrieval systems

Authors:
R. H. Shumway
Affiliations:
Westat Research, Inc., Bethesda, MA
Venue:
Communications of the ACM
Year:
1967

Citing 3
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Abstract

A file adjustment procedure based on maximizing the Bayes expected gain is proposed for matched term retrieval systems. The expected gain and its probability distribution are derived as a function of: (1) the prior proportion of omitted terms, and (2) the coefficient of separation between two distributions corresponding to values of an adjustment statistic. An example evaluates the gain parameters for a typical information retrieval system.