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
-
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 et de médecine
- Department
- Département de Physique
- Language
-
- English
- Classification
- Information, communication and media sciences
- License
-
License undefined
- Identifiers
-
- RERO DOC 6413
- DOI 10.1209/epl/i2006-10204-8
- Persistent URL
- https://folia.unifr.ch/unifr/documents/300162
Export to…
Statistics
Document views: 213
File downloads:
- pdf: 342