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2009 Third International Conference on Genetic and Evolutionary Computing
Research on Network Content Audit Based on Information Fingerprint
Guilin, China
October 14-October 17
ISBN: 978-0-7695-3899-0
Based on the specific features of advertisement robot widely existing in network information, a mixture strategy for network content filtering is presented in this paper. The strategy can determine quickly by calculating the fingerprint of network content, and Bayesian filtering is reused when the strategy can not determine. The result of this experiment shows that the strategy is more advanced than the sole Bayesian method in improving system running efficiency and finding out the phenomenon of advertisement robot.
Index Terms:
network content audit, information fingerprint, Bayesian
Citation:
Tonglai Liu, Hua Jiang, Wanzhen Zhang, "Research on Network Content Audit Based on Information Fingerprint," wgec, pp.185-187, 2009 Third International Conference on Genetic and Evolutionary Computing, 2009
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