EconPapers    
Economics at your fingertips  
 

Enhancing the Ranking of a Web Page in the Ocean of Data

Hitesh KUMAR Sharma ()
Additional contact information
Hitesh KUMAR Sharma: University of Petroleum and Energy Studies, India

Database Systems Journal, 2013, vol. 4, issue 3, 3-9

Abstract: In today's world, web is considered as ocean of data and information (like text, videos, multimedia etc.) consisting of millions and millions of web pages in which web pages are linked with each other like a tree. It is often argued that, especially considering the dynamic of the internet, too much time has passed since the scientific work on PageRank, as that it still could be the basis for the ranking methods of the Google search engine. There is no doubt that within the past years most likely many changes, adjustments and modifications regarding the ranking methods of Google have taken place, but PageRank was absolutely crucial for Google's success, so that at least the fundamental concept behind PageRank should still be constitutive. This paper describes the components which affects the ranking of the web pages and helps in increasing the popularity of web site. By adapting these factors website developers can increase their site's page rank and within the PageRank concept, considering the rank of a document is given by the rank of those documents which link to it. Their rank again is given by the rank of documents which link to them. The PageRank of a document is always determined recursively by the PageRank of other documents.

Keywords: SEO; Search Engine; Page Rank; Inbound; Outbound; DBMS (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://dbjournal.ro/archive/13/13_1.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:4:y:2013:i:3:p:3-9

Access Statistics for this article

Database Systems Journal is currently edited by Ion Lungu

More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Series data maintained by Adela Bara ().

 
Page updated 2017-09-29
Handle: RePEc:aes:dbjour:v:4:y:2013:i:3:p:3-9