{"title":"基于贝叶斯算法的信息检索系统应用研究","authors":"Wang Zhong-sheng, Liang Chen-yan","doi":"10.1109/ICNDS.2010.5479245","DOIUrl":null,"url":null,"abstract":"This paper proposes a solution of filtering garbage information, in order to solve the problem of dynamic delivery of documents. The solution balances the technique of Black and White List Spam Filtering, as well as the advantages and disadvantages of and Bayesian Algorithm. It creates the Bayesian Model based on the analysis of probability distributions of Junk key words, as well as design and implement a set of information filtering system. The system implements information filtering accurately and intelligently.","PeriodicalId":403283,"journal":{"name":"2010 International Conference on Networking and Digital Society","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application research for the information searching system based on Bayesian Algorithm\",\"authors\":\"Wang Zhong-sheng, Liang Chen-yan\",\"doi\":\"10.1109/ICNDS.2010.5479245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a solution of filtering garbage information, in order to solve the problem of dynamic delivery of documents. The solution balances the technique of Black and White List Spam Filtering, as well as the advantages and disadvantages of and Bayesian Algorithm. It creates the Bayesian Model based on the analysis of probability distributions of Junk key words, as well as design and implement a set of information filtering system. The system implements information filtering accurately and intelligently.\",\"PeriodicalId\":403283,\"journal\":{\"name\":\"2010 International Conference on Networking and Digital Society\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Networking and Digital Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNDS.2010.5479245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Networking and Digital Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNDS.2010.5479245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application research for the information searching system based on Bayesian Algorithm
This paper proposes a solution of filtering garbage information, in order to solve the problem of dynamic delivery of documents. The solution balances the technique of Black and White List Spam Filtering, as well as the advantages and disadvantages of and Bayesian Algorithm. It creates the Bayesian Model based on the analysis of probability distributions of Junk key words, as well as design and implement a set of information filtering system. The system implements information filtering accurately and intelligently.