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Testing the maximum entropy principle for information retrieval

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  • Paul B. Kantor
  • Jung Jin Lee

Abstract

A probabilistic information retrieval method using the Maximum Entropy Principle (MEP) was proposed by Cooper and Huizinga (1982). Several refinements of the MEP for information retrieval have been proposed by Kantor and Lee (1986, 1991), but the MEP has not been evaluated in any large database. This article examines the MEP retrieval method using the TREC5 database. The MEP is evaluated by several tests and compared with a “naive ordering method” and “lexicographic ordering method.” The MEP does not provide any startling improvement, and it works reasonably well only in the case of a small number of keys and a relatively small collection. © 1998 John Wiley & Sons, Inc.

Suggested Citation

  • Paul B. Kantor & Jung Jin Lee, 1998. "Testing the maximum entropy principle for information retrieval," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(6), pages 557-566.
    • Handle: RePEc:bla:jamest:v:49:y:1998:i:6:p:557-566
    DOI: 10.1002/(SICI)1097-4571(19980501)49:63.0.CO;2-G
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