Pairwise similarity of TopSig document signatures | Zendy

Christopher M. De Vries | Zendy; Shlomo Geva | Zendy

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Pairwise similarity of TopSig document signatures

Author(s) -

Christopher M. De Vries,

Shlomo Geva

Publication year - 2012

Publication title -

qut eprints (queensland university of technology)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2407085.2407103

Subject(s) - pairwise comparison , similarity (geometry) , computer science , neighbourhood (mathematics) , property (philosophy) , vector space model , vector space , information retrieval , artificial intelligence , data mining , pattern recognition (psychology) , mathematics , image (mathematics) , epistemology , mathematical analysis , philosophy , geometry

This paper analyses the pairwise distances of signatures produced by the TopSig retrieval model on two document collections. The distribution of the distances are compared to purely random signatures. It explains why TopSig is only competitive with state of the art retrieval models at early precision. Only the local neighbourhood of the signatures is interpretable. We suggest this is a common property of vector space models.

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