Information filtering via Iterative Refinement

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dc.creatorLaureti, P.
dc.creatorMoret, L.
dc.creatorZhang, Y. -C.
dc.creatorYu, Y. -K.
dc.date2006-08-16
dc.date.accessioned2026-07-07T07:25:50Z
dc.date.available2026-07-07T07:25:50Z
dc.descriptionWith 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.
dc.description10 pages, 3 figures. Accepted for publication on Europhysics Letters
dc.identifierhttps://arxiv.org/abs/physics/0608166
dc.identifierhttp://arxiv.org/abs/physics/0608166
dc.identifierEurophys. Lett., 75 (6), 1006 (2006)
dc.identifierdoi:10.1209/epl/i2006-10204-8
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116857
dc.subjectData Analysis, Statistics and Probability
dc.subjectInformation Retrieval
dc.subjectPhysics and Society
dc.titleInformation filtering via Iterative Refinement
dc.typetext

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