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AN ENHANCED PAGE RANKING ALGORITHM USING DYNAMIC APPROACH

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909.85 kB
Publication No:
IJTC201605018
Author:
Er. Jasdeep Singh, Prince Sharma
Downloads:
11 x

Abstract
We live in the computer era. The World Wide Web is part of our daily lives and information is only a click away. As the World Wide Web is increasing regularly, therefore the most concerned issue for the users would be how to collect the valuable information as well as get their genuine information efficiently and instantly. Hence, simply open your favorite search engine, like Google or Yahoo, type in the key words, and the search engine will display the web pages relevant for your search. Nowadays, the ranking of the web pages for the web search engine is one of the significant problems. So, this leads to the important attention to the research community. Web mining performs an important role in extracting the best information according to a user’s problem. In this paper, a survey of a new page rank algorithm which is an enhanced page ranking algorithm using dynamic approach. This algorithm is used to find more relevant information according to a user’s query.

We live in the computer era. The World Wide Webis part of ourdaily livesand information is only a click away. As theWorld Wide Webisincreasingregularlythereforethe most concerned issue for the users would be how to collect thevaluableinformationas well asgettheir genuine information efficientlyandinstantlyHence, simplyopen your favorite search engine, likeGoogle or Yahoo, type in the key words, and the search engine will display theweb pagesrelevant for your search. Nowadays, the ranking of the web pages for the web search engine is one of the significant problems. So, this leads to the important attention to the research community. Web miningperformsan important role in extracting thebestinformation according to a user’s problem. In this paper, a survey of a new page rank algorithm which is an enhanced page ranking algorithm using dynamic approach. This algorithm is used to find more relevant information according to a user’s query.

Keywords:
WWW; Data mining; Web mining; Search engine; Page ranking

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