Abstract
Page Ranking is an essential segment for information retrieval system. It is utilized to gauge the significance and conduct of website pages. We audit two methodologies for ranking: HITS idea and Page Rank technique. Both methodologies concentrate on the link structure of the Web to discover the significance of the Web pages. The Page Rank algorithm figures the rank of individual website page and Hypertext Induced Topic Search (HITS) relies on the hubs and authority framework. A quick and efficient page ranking component for web retrieval stays as a test. This paper proposed another page rank algorithm which utilizes a normalization technique in view of mean value of page ranks. The proposed scheme reduces the time complexity of the traditional Page Rank algorithm by diminishing the number of iterations to reach a convergence point . Keywords: Ranking, Page Rank, HITS, Hyperlink, Normalization
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