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Finding Related Pages Using Green Measures: An Illustration with Wikipedia

Yann Ollivier 1 Pierre Senellart 2
2 GEMO - Integration of data and knowledge distributed over the web
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We introduce a new method for finding nodes semantically related to a given node in a hyperlinked graph: the Green method, based on a classical Markov chain tool. It is generic, adjustment-free and easy to implement. We test it in the case of the hyperlink structure of the English version of Wikipedia, the on-line encyclopedia. We present an extensive comparative study of the performance of our method versus several other classical methods in the case of Wikipedia. The Green method is found to have both the best average results and the best robustness.
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https://hal.inria.fr/inria-00143788
Contributor : Pierre Senellart <>
Submitted on : Thursday, April 26, 2007 - 11:18:38 PM
Last modification on : Wednesday, September 16, 2020 - 5:04:53 PM
Long-term archiving on: : Wednesday, April 7, 2010 - 1:16:00 AM

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Yann Ollivier, Pierre Senellart. Finding Related Pages Using Green Measures: An Illustration with Wikipedia. Association for the Advancement of Artificial Intelligence Conference, Jul 2007, Vancouver/Canada. ⟨inria-00143788⟩

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