Document (#16779)

Author

Losee, R.M.

Title

Comparing Boolean and probabilistic information retrieval systems across queries and disciplines

Source

Journal of the American Society for Information Science. 48(1997) no.2, S.143-156

Year

1997

Abstract

Suggests a method for comparison of the use of Boolean queries and ranking documents using document and term weights, and examines their relative merits. The performance of information retrieval may be determined either by using experimental simulation, or through the application of analytic techniques that estimate the retrieval performance, given values for query and database characteristics. Using these performance predicting techniques, sample performance figures are provided for queries using the Boolean operators and, and or, as well as for probabilistic systems assuming statistical term independence or term dependence. Examines the performance of models failing to meet statistical and other assumptions

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4. Cho, B.-H.; Lee, C.; Lee, G.G.: Exploring term dependences in probabilistic information retrieval model (2003) 0.32

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5. Lee, J.H.; Kim, M.H.; Lee, Y.J.: Information retrieval based on conceptual distance in is-a hierarchies (1993) 0.31

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