{"title":"信息检索中链接分析算法的比较研究","authors":"B. Frikh, B. Ouhbi, A. Ameur","doi":"10.1109/NGNS.2012.6656104","DOIUrl":null,"url":null,"abstract":"The World Wide Web has emerged to become the biggest and most popular way of communication and information dissemination. Every day, the Web is expending and people generally rely on search engine to explore the Web. Because of its rapid and chaotic growth, the resulting network of information lacks of organization and structure. It is a challenge for service provider to provide proper, relevant and quality information to the Internet users by using the Web page contents and hyperlinks between Web pages. This paper deals with analysis and comparison of Web pages ranking algorithms based on various parameters to find out their advantages and limitations for ranking Web pages and to give the further scope of research in Web pages ranking algorithms.","PeriodicalId":102045,"journal":{"name":"2012 Next Generation Networks and Services (NGNS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A comparative study of link analysis algorithms for information retrieval\",\"authors\":\"B. Frikh, B. Ouhbi, A. Ameur\",\"doi\":\"10.1109/NGNS.2012.6656104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The World Wide Web has emerged to become the biggest and most popular way of communication and information dissemination. Every day, the Web is expending and people generally rely on search engine to explore the Web. Because of its rapid and chaotic growth, the resulting network of information lacks of organization and structure. It is a challenge for service provider to provide proper, relevant and quality information to the Internet users by using the Web page contents and hyperlinks between Web pages. This paper deals with analysis and comparison of Web pages ranking algorithms based on various parameters to find out their advantages and limitations for ranking Web pages and to give the further scope of research in Web pages ranking algorithms.\",\"PeriodicalId\":102045,\"journal\":{\"name\":\"2012 Next Generation Networks and Services (NGNS)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Next Generation Networks and Services (NGNS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NGNS.2012.6656104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Next Generation Networks and Services (NGNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGNS.2012.6656104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study of link analysis algorithms for information retrieval
The World Wide Web has emerged to become the biggest and most popular way of communication and information dissemination. Every day, the Web is expending and people generally rely on search engine to explore the Web. Because of its rapid and chaotic growth, the resulting network of information lacks of organization and structure. It is a challenge for service provider to provide proper, relevant and quality information to the Internet users by using the Web page contents and hyperlinks between Web pages. This paper deals with analysis and comparison of Web pages ranking algorithms based on various parameters to find out their advantages and limitations for ranking Web pages and to give the further scope of research in Web pages ranking algorithms.