arXiv · physics/0608166
Information filtering via Iterative Refinement
Abstract
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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P. Laureti, L. Moret, Y. -C. Zhang, Y. -K. Yu. 2006-08-16. Information filtering via Iterative Refinement. https://doi.org/10.1209/epl%2Fi2006-10204-8
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