Document (#7410)

Author

Maron, M.E.

Title

Probabilistic design principles for conventional and full-text retrieval systems

Source

Information processing and management. 24(1988) no.3, S.249-255

Year

1988

Abstract

In order for conventionally designed commercial document retrieval systems to perform perfectly, the following 2 (logical) conditions must be satisfied for every search: there exists a document property (or combinations of properties) that belongs to those (and only those) documents that are relevant; that property (or combination of properties) can be correctly guessed by the searcher. In general, the 1st assumption is false, and the second is impossible to satisfy; hence no conventional IR system can perform at a maximum level of effectiveness. However, different design principles can lead to improved performance. Presents a view of the document retrieval problem that shows that since the relationship between document properties (whether they be humanly assigned index terms or words that occur in the running text) and relevance is at best probabilistic, one should approach the design problem using probabilistic principles. It turns out that a front end system designed to permit searchers to attach probabilistically interpreted weights to their query terms could be adapted for conventional IR systems. Such an enhancement could lead to improved performance

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5. Everett, D.M.; Cater, S.C.: Topology of document retrieval systems (1992) 0.18

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