Embedding term similarity and inverse document frequency into a logical model of information retrieval

David E. Losada and Alvaro Barreiro

Journal of the American Society for Information Science and Technology, 2003, vol. 54, issue 4, 285-301

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.

Date: 2003
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https://doi.org/10.1002/asi.10209

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:54:y:2003:i:4:p:285-301

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https://doi.org/10.1002/(ISSN)1532-2890

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