An application of document filtering in an operational system

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This paper describes an applied document filtering system embedded in an operational watch center that monitors disease outbreaks worldwide. At the initial time of this writing, the system effectively supported monitoring of 23 geographic regions by filtering documents in several thousand daily news sources in 11 different languages. This paper describes the filtering algorithm, statistical procedures for estimating Precision and Recall in an operational environment, summarizes operational performance data and suggests lessons learned for other applications of document filtering technology. Overall, these results are interpreted as supporting the general utility of document filtering and information retrieval technology and offers recommendations for future applications of this technology.

论文关键词:Document filtering,Bayesian inference

论文评审过程:Received 15 September 2008, Revised 12 June 2009, Accepted 26 December 2009, Available online 27 January 2010.

论文官网地址:https://doi.org/10.1016/j.ipm.2009.12.006