Enhancing Page Rank Algorithm

Abstract

World Wide Web (WWW) is a collection of web Pages. A web Page consists of audio, Images, video, text etc. Retrieving web pages from large collection of WWW is a challenge. Web mining is used in extracting data from WWW. Web structure mining and web content mining plays an effective role in this approach. Page rank and weighted page rank algorithms are commonly used in the web structure mining, whereas HITS and weighted page content rank algorithms are used in the web structure mining and web content mining techniques. In this paper, a new algorithm is proposed, WPUCR (Weighted Page User Content Rank) algorithm which is a combination of web Usage Mining, web content mining and Web structure mining. It is the extension of weighted page content rank algorithm and shows the relevancy of the pages to a given query in a much more refined manner and works on the user behavior.
DOI: 10.17762/ijritcc2321-8169.1505186