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

Author

Jain, Abhishek ; Sharma, Ritu ; Dixit, Gaurav ; Tomar, Vandana

Author_Institution

Madhav Proudyigiki Mahavidyalaya, Bhopal, India

fYear

2013

fDate

6-8 April 2013

Firstpage

640

Lastpage

645

Abstract

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 Page Rank (PR), Weighted Page Rank (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.

Keywords

Internet; data mining; indexing; information retrieval; search engines; topology; CLEVER algorithms; HITS algorithm; PR algorithm; WPR algorithm; Web mining; Web pages; Web topology; hyperlink-induced topic search algorithm; indexing; page rank algorithm; page ranking algorithms; search engines; weighted page rank algorithm; Algorithm design and analysis; Crawlers; Indexes; Search engines; Web mining; Web pages; Authoritative Web Pages; CLEVER; HITS; PageRank; WPR; Web Structure Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Network Technologies (CSNT), 2013 International Conference on

Conference_Location

Gwalior

Print_ISBN

978-1-4673-5603-9

Type

conf

DOI

10.1109/CSNT.2013.137

Filename

6524480