Optimal classification and its consequences

  • Authors:

  • David M. Jackson

  • Affiliations:

  • Cornell University, Ithaca, New York

  • Venue:
  • SIGIR '71 Proceedings of the 1971 international ACM SIGIR conference on Information storage and retrieval
  • Year:
  • 1971

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Abstract

A particular classification and retrieval model are considered. A notion is introduced which indicates the extent to which retrieval performance may be improved by a suitable choice of classification within the model. A method for determining the optimal performance for the model is outlined together with an algorithm for constructing the classification which allows this limit to be attained. A treatment of the mathematical preliminaries for a particular class of match function is given. The relevance of the analysis in research on information retrieval systems is discussed.