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Article Dans Une Revue Knowledge and Information Systems (KAIS) Année : 2012

BM25t: a BM25 extension for focused information retrieval

Mathias Géry
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Christine Largeron

Résumé

This paper addresses the integration of XML tags into a term-weighting function for focused XML Information Retrieval (IR). Our model allows us to consider a certain kind of structural information: tags that represent a logical structure (e.g. title, section, paragraph, etc.) as well as other tags (e.g. bold, italic, center, etc.). We take into account the influence of a tag by estimating the probability for this tag to distinguish relevant terms from the others. Then, these weights are integrated in a term-weighting function. Experiments on a large collection from the INEX 2008 XML IR evaluation campaign showed improvements on focused XML retrieval.
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Dates et versions

hal-00617973 , version 1 (31-08-2011)

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Mathias Géry, Christine Largeron. BM25t: a BM25 extension for focused information retrieval. Knowledge and Information Systems (KAIS), 2012, 32 (1), pp.217-241. ⟨10.1007/s10115-011-0426-0⟩. ⟨hal-00617973⟩
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