{"title":"基于信息指纹的网络内容审计研究","authors":"Tonglai Liu, Hua Jiang, Wanzhen Zhang","doi":"10.1109/WGEC.2009.50","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":277950,"journal":{"name":"2009 Third International Conference on Genetic and Evolutionary Computing","volume":"44 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Network Content Audit Based on Information Fingerprint\",\"authors\":\"Tonglai Liu, Hua Jiang, Wanzhen Zhang\",\"doi\":\"10.1109/WGEC.2009.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":277950,\"journal\":{\"name\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"volume\":\"44 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WGEC.2009.50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Genetic and Evolutionary Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WGEC.2009.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Network Content Audit Based on Information Fingerprint
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.
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