Information filtering via Iterative RefinementP. 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