Document (#20419)

Author

Rajashekar, T.B.
Croft, W.B.

Title

Combining automatic and manual index representations in probabilistic retrieval

Source

Journal of the American Society for Information Science. 46(1995) no.4, S.272-283

Year

1995

Abstract

Results from research in information retrieval have suggested that significant improvements in retrieval effectiveness can be obtained by combining results from multiple index representioms, query formulations, and search strategies. The inference net model of retrieval, which was designed from this point of view, treats information retrieval as an evidental reasoning process where multiple sources of evidence about document and query content are combined to estimate relevance probabilities. Uses a system based on this model to study the retrieval effectiveness benefits of combining these types of document and query information that are found in typical commercial databases and information services. The results indicate that substantial real benefits are possible

Theme

Retrievalalgorithmen

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5. Wu, H.C.; Luk, R.W.P.; Wong, K.F,; Kwok, K.L.: ¬A retrospective study of a hybrid document-context based retrieval model (2007) 0.31

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