Abstract
World Wide Web is the treasury of information. It contain huge amount of interrelated data but it is very difficult to find the relevant data from it. To search for relevant information user uses search engine. Ranking algorithms are used by search engine to retrieve the most relevant and popular web pages. PageRank and HITS (Hyperlink-Induced Topic Search) algorithm are very popular among them. In this paper PageRank and HITS algorithm and their working are discussed briefly. This paper proposed an approach in which both Page Rank and HITS algorithm applied simultaneously to find most relevant web pages and improve the result of web searching. An experimental result shows that performance of proposed approach is better than individual application of algorithms.
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