Information filtering via Iterative Refinement
数据分析、统计与概率
2007-05-23 v1 信息检索
物理与社会
摘要
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.
关键词
引用
@article{arxiv.physics/0608166,
title = {Information filtering via Iterative Refinement},
author = {P. Laureti and L. Moret and Y. -C. Zhang and Y. -K. Yu},
journal= {arXiv preprint arXiv:physics/0608166},
year = {2007}
}
备注
10 pages, 3 figures. Accepted for publication on Europhysics Letters