Comparative Study of Web Page Ranking Algorithms Atul Kumar Srivastava

Abstract: With the exponential growth of information on web, getting relevant information regarding user query through search engines is a tedious job today. Several search engines use link analysis algorithms to rank the web pages according to the need. But these algorithms are still lacking with efficiency, scalability and relevancy issues. This paper put forward survey of various improved ranking algorithms and their pros and cons. Further, we have included comparative study of various ranking algorithms mainly PageRank and HITS based on computation environments like Sequential, Parallel. This will help scientist, researchers, and academicians working in this area to understand the existing algorithms and develop one which is need of today’s environment