Journal article

Information filtering via iterative refinement

  • Laureti, Paolo Département de Physique, Université de Fribourg, Switzerland
  • Moret, Lionel Département de Physique, Université de Fribourg, Switzerland
  • Zhang, Yi-Cheng Département de Physique, Université de Fribourg, Switzerland
  • Yu, Yi-Kou National Center for Biotechnology Information, NIH, Rockville Pike Bethesda, USA
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    11.08.2006
Published in:
  • Europhysics Letters. - 2006, vol. 75, no. 6, p. 1006-1012
English 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.
Faculty
Faculté des sciences
Department
Physique
Language
  • English
Classification
Information, communication and media sciences
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/300162
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