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Information filtering via Iterative Refinement

P. Laureti1, L. Moret1, Y.-C. Zhang1 and Y.-K. Yu2

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With the explosive growth of accessible information, expecially on the Internet, evaluation-based filtering has become a crucial task. Various systems have been devised aiming to sort through large volumes of information and select what is likely to be more relevant. In this letter we analyse a new ranking method, where the reputation of information providers is determined self-consistently.


PACS

89.20.Hh World Wide Web, Internet

Subjects

Statistical physics and nonlinear systems

Dates

Issue 6 (September 2006)

Received 4 May 2006, accepted for publication 24 July 2006, in final form 24 July 2006

Published 11 August 2006



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