Document (#26424)

Author
Losada, D.E.
Barreiro, A.
Title
Emebedding term similarity and inverse document frequency into a logical model of information retrieval
Source
Journal of the American Society for Information Science and technology. 54(2003) no.4, S.285-301
Year
2003
Abstract
We propose a novel approach to incorporate term similarity and inverse document frequency into a logical model of information retrieval. The ability of the logic to handle expressive representations along with the use of such classical notions are promising characteristics for IR systems. The approach proposed here has been efficiently implemented and experiments against test collections are presented.
Footnote
Beitrag eines Themenheftes: Mathematical, logical, and formal methods in information retrieval
Theme
Retrievalalgorithmen

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  5. Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.20
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