Europhys. Lett.
Volume 75, Number 6, September 2006
Page(s) 1006 - 1012
Section Interdisciplinary physics and related areas of science and technology
Published online 11 August 2006
Europhys. Lett., 75 (6), pp. 1006-1012 (2006)
DOI: 10.1209/epl/i2006-10204-8

Information filtering via Iterative Refinement

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

1  Département de Physique, Université de Fribourg - CH-1700 Fribourg, Switzerland
2  National Center for Biotechnology Information, NIH - 8600 Rockville Pike Bethesda, MD 20894, USA

received 4 May 2006; accepted in final form 24 July 2006
published online 11 August 2006

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.

89.20.Hh - World Wide Web, Internet.
89.70.+c - Information theory and communication theory.

© EDP Sciences 2006