The purpose of this research work is to explore various limitations of conventional search and page ranking systems in an E-Commerce environment.
Their category based search differs from Google's popularity based page rank system by siloing websites into categories, then running searches within those categories.
It's because the components of the page rank system like traffic, inbound links and domain age don't tell the whole story when it comes to blogs... not the same way readers can.
The present page-ranking system is easy to bait just add the right key words to some garbage content or pay Google for an ad, and your listing appears at the top of everyone's search results.
The practice has proved to be a vexing problem for the major search companies, which struggle to prevent both spammers and companies specializing in improving legitimate clients' Web traffic — a field known as search-engine optimization — from undermining their page-ranking systems.
This is created by unscrupulous companies that know how to manipulate Google's page-ranking systems to get their websites listed at the top of your search results.
He says the system is closer to Google's Web page ranking algorithm than traditional anti-virus programs.
Web page ranking: Hyperlinks can be used to rank web pages, in accordance with the interest of the user, such as in search engines [11].
It is different from web page ranking and is a highlight of this paper.
Such algorithms can be used for efficient page ranking on the web.
