A.Langville

Ch. D.Manning

D.Cohn

D.Gleich

L. N.de Castro

L.Zhang

M.Klopotek

M.Sydow

R. W.Kopak

S. D.Kamvar

T.Kohonen

This chapter presents a new measure of document similarity – the GNGrank that was inspired by the popular opinion that links between the documents reflect similar content. The idea was to create a rank measure based on the well known PageRank algorithm which exploits the document similarity to insert links between the documents. A comparative study of various link- and content-based similarity measures, and GNGrank is performed in the context of identification of a typical document of a collection. The study suggests that each group of them measures something different, a different aspect of document space, and hence the respective degrees of typicality do not correlate. This may be an indication that for different purposes different documents may be important. A deeper study of this phenomenon is our future research goal.</jats:p

Mieczyslaw Klopotek

Slawomir Wierzchon

Krzysztof Ciesielski

Michal Draminski

Dariusz Czerski

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Towards the Notion of Typical Documents in Large Collections of Documents

Towards the Notion of Typical Documents in Large Collections of Documents

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