Jianbin Xiong, Zhenkun Li, Luqiao Fan, Dongping Liu
{"title":"改进深度优先算法及其在信息检索中的应用","authors":"Jianbin Xiong, Zhenkun Li, Luqiao Fan, Dongping Liu","doi":"10.1109/BICTA.2010.5645357","DOIUrl":null,"url":null,"abstract":"With the rapid growth of the network information, how to search the relative information in the web becomes a new challenge. The algorithm of search engine is the key to search on web accurately and rapidly, and the research of search engine algorithm is still a hot issue of Web-search. The standard depth-first algorithm has some insufficient that include dead circulation and low recall-precision. It provides a developed depth-first algorithm to improve the recall-precision and accuracy of search, and use it to search in small and medium-sized websites.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved depth first algorithm and its application in information retrieval\",\"authors\":\"Jianbin Xiong, Zhenkun Li, Luqiao Fan, Dongping Liu\",\"doi\":\"10.1109/BICTA.2010.5645357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid growth of the network information, how to search the relative information in the web becomes a new challenge. The algorithm of search engine is the key to search on web accurately and rapidly, and the research of search engine algorithm is still a hot issue of Web-search. The standard depth-first algorithm has some insufficient that include dead circulation and low recall-precision. It provides a developed depth-first algorithm to improve the recall-precision and accuracy of search, and use it to search in small and medium-sized websites.\",\"PeriodicalId\":302619,\"journal\":{\"name\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BICTA.2010.5645357\",\"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 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BICTA.2010.5645357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved depth first algorithm and its application in information retrieval
With the rapid growth of the network information, how to search the relative information in the web becomes a new challenge. The algorithm of search engine is the key to search on web accurately and rapidly, and the research of search engine algorithm is still a hot issue of Web-search. The standard depth-first algorithm has some insufficient that include dead circulation and low recall-precision. It provides a developed depth-first algorithm to improve the recall-precision and accuracy of search, and use it to search in small and medium-sized websites.