Information filtering via Iterative Refinement

Details Information filtering via Iterative Refinement Information filtering via Iterative Refinement

2006-08-16

arxiv.org/abs/physics/0608166v1

Europhys. Lett., 75 (6), 1006 (2006)

Physics

Data Analysis, Statistics and Probability

10 pages, 3 figures. Accepted for publication on Europhysics Letters

Scientific paper

10.1209/epl/i2006-10204-8

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.

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