Information filtering via Iterative Refinement
<|reference_start|>Information filtering via Iterative Refinement: 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.<|reference_end|>
@article{laureti2006information,
    title={Information filtering via Iterative Refinement},
    author={P. Laureti, L. Moret, Y.-C. Zhang, Y.-K. Yu},
    journal={Europhys. Lett., 75 (6), 1006 (2006)},
    year={2006},
    doi={10.1209/epl/i2006-10204-8},
    archivePrefix={arXiv},
    eprint={physics/0608166},
    primaryClass={physics.data-an cs.IR physics.soc-ph}
}