Pb. Kantor et Jj. Lee, TESTING THE MAXIMUM-ENTROPY PRINCIPLE FOR INFORMATION-RETRIEVAL, Journal of the American Society for Information Science, 49(6), 1998, pp. 557-566
Citations number
14
Categorie Soggetti
Information Science & Library Science","Computer Science Information Systems","Computer Science Information Systems
A probabilistic information retrieval method using the Maximum Entropy
Principle (MEP) was proposed by Cooper and Huizinga (1982). Several r
efinements 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 re
asonably well only in the case of a small number of keys and a relativ
ely small collection.