Laureti, Paolo Moret, Lionel Zhang, Yi-Cheng Yu, Yi-Kou 2006-08-11 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. application/pdf https://folia.unifr.ch/global/documents/300162 https://folia.unifr.ch/documents/300162/files/zhang_ifi.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1209/epl/i2006-10204-8 info:eu-repo/semantics/openAccess License undefined Europhysics Letters. - 2006, vol. 75, no. 6, p. 1006-1012 info:eu-repo/classification/udc/65 Information filtering via iterative refinement http://purl.org/coar/resource_type/c_6501