Study of Preference Based Page Ranking Algorithm

Abstract

With massive explosion of digital data and many people’s relying on more and more on search engines to get all kinds of information. Due to huge amount of data it has become steadily more difficult for the search engines to produce most relevant data links to the users. Therefore, producing the data on the web and abiding with the user interest or desires from their activities is very essential. Since, web mining is a utility of data mining techniques that is used to classify users and web pages by analyzing the user’s behavior and content of the web pages. Web Structure mining plays a significant role in this field of data collection. In the past years, several algorithms have been developed to improve the performance is Weighted Page-Rank Algorithm that is an extension to the standard Page-Rank Algorithms. Therefore, the processing of such large amount of data on the internet as refined version of weighted page rank is considered over distributed systems using Hadoop Map-Reduce framework.