rank measure
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2016 ◽  
Author(s):  
Joey T. Cheng ◽  
Jessica L. Tracy ◽  
Simon Ho ◽  
Joseph Henrich
Keyword(s):  


2015 ◽  
Vol 88 (4) ◽  
pp. 1034-1043 ◽  
Author(s):  
E. V. Chernukho
Keyword(s):  


Author(s):  
Mieczyslaw Klopotek ◽  
Slawomir Wierzchon ◽  
Krzysztof Ciesielski ◽  
Michal Draminski ◽  
Dariusz Czerski

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.



2007 ◽  
Vol 49 (2) ◽  
pp. 203-204 ◽  
Author(s):  
Christian Genest ◽  
Jean-François Plante
Keyword(s):  


2005 ◽  
Vol 47 (4) ◽  
pp. 515-529 ◽  
Author(s):  
Joaquim Pinto da Costa ◽  
Carlos Soares
Keyword(s):  


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