Page Ranking Algorithms in Web Mining, Limitations of Existing methods and a New Method for Indexing Web Pages

被引：14
作者：
Jain, Ashish [1 ]
Sharma, Rajeev [1 ]
Dixit, Gireesh [1 ]
Tomar, Varsha
机构：
[1] Madhav Proudyigiki Mahavidyalaya, Bhopal, India
来源：
2013 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2013) | 2013年
关键词：
HITS; PageRank; WPR; CLEVER; Authoritative Web Pages; Web Structure Mining;
D O I：
10.1109/CSNT.2013.137
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
As the web is growing very rapidly, the users get easily lost in the rich hyper structure. The primary goal of search engines is to provide relevant information to the users to cater to their needs. Therefore, finding the content of the Web and retrieving the users' interests and needs have become increasingly important. The different algorithms used for link analysis like PageRank (PR), Weighted PageRank (WPR), Hyperlink-Induced Topic Search (HITS) and CLEVER algorithms are discussed and compared in this paper. The aim of this research is to discover an efficient and better system for mining the web topology to identify authoritative web pages.
引用
收藏
页码：640 / 645
页数：6
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