Abstract: With the development of internet enormous web pages have generated. It is very much critical for user to access web pages that satisfy user demands. Hence ranking of pages come into role to provide relevant information to cater their needs. Important pages receive a higher PageRank and are more likely to appear at the top of the search results. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it. This article provides an acquaintance of traditional weighted page rank algorithm. Then we propose a new method to yield more accurate positive results. Firstly, we adding the concept of duplicate links. In addition to that, we accumulate visitors’ action performed per web page. Secondly, priority is assigned to each action .After analyzing priority, rank is updated. Following that by incorporating the concept of gini index of SPRINT algorithm, improved method turns out to be better than traditional page rank algorithm. Gini index provides weightage to each action. The relevancy of the webpages returned is more because the user behavior is also considered to rank the webpages.
Keywords: Duplicate links, Gini index, link ratio analysis, Enhanced Weighted PageRank algorithm, SPRINT algorithm, user action, weighted PageRank algorithm.
Title: ACTION-SENSITIVE ENHANCED WEIGHTED PAGE RANK ALGORITHM (ASE-WPRA)
Author: Suman Kumari, Ritu Maheshwari Bansal
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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