Testing the maximum entropy principle for information retrieval

Paul B. Kantor and Jung Jin Lee

Journal of the American Society for Information Science, 1998, vol. 49, issue 6, 557-566

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.

Date: 1998
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https://doi.org/10.1002/(SICI)1097-4571(19980501)49:63.0.CO;2-G

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