{"title":"基于遗传算法的专业元搜索引擎结果研究","authors":"Xu Liang, Yaoxu Wu, Ming Huang","doi":"10.1109/ICITEC.2014.7105573","DOIUrl":null,"url":null,"abstract":"The query results returned from the meta-search engine come from the independent search engine and the results will be evaluated the professional correlation; additional information must be dogged beyond its location information. This paper proposes a web page ranking algorithm based on genetic algorithms, and discusses the principle of the algorithm and implementation process, researches and realizes the meta-search engine in the field of training. Based on the fully dig of web text information and combined with the web professional correlation algorithm given by genetic algorithm, this paper extracts the features of professional website. Experimental results show that the engine has a high professional information filtering and sorting capabilities.","PeriodicalId":293382,"journal":{"name":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The research of professional meta-search engine result based on genetic algorithm\",\"authors\":\"Xu Liang, Yaoxu Wu, Ming Huang\",\"doi\":\"10.1109/ICITEC.2014.7105573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The query results returned from the meta-search engine come from the independent search engine and the results will be evaluated the professional correlation; additional information must be dogged beyond its location information. This paper proposes a web page ranking algorithm based on genetic algorithms, and discusses the principle of the algorithm and implementation process, researches and realizes the meta-search engine in the field of training. Based on the fully dig of web text information and combined with the web professional correlation algorithm given by genetic algorithm, this paper extracts the features of professional website. Experimental results show that the engine has a high professional information filtering and sorting capabilities.\",\"PeriodicalId\":293382,\"journal\":{\"name\":\"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITEC.2014.7105573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2nd International Conference on Information Technology and Electronic Commerce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEC.2014.7105573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The research of professional meta-search engine result based on genetic algorithm
The query results returned from the meta-search engine come from the independent search engine and the results will be evaluated the professional correlation; additional information must be dogged beyond its location information. This paper proposes a web page ranking algorithm based on genetic algorithms, and discusses the principle of the algorithm and implementation process, researches and realizes the meta-search engine in the field of training. Based on the fully dig of web text information and combined with the web professional correlation algorithm given by genetic algorithm, this paper extracts the features of professional website. Experimental results show that the engine has a high professional information filtering and sorting capabilities.