Search engine's users face the problem of retrieving non-relevant search results. The user may get results that are not relevant to his query or may get the relevant results at the last result pages while the non relevant results appear at the first result page because of their high ranking. The Google search engine uses a Page Rank algorithm that considers the number of inbound and outbound links while calculating the rank score for a page. The aim of this project is to modify the Page Rank algorithm used by the Google search engine to produce better ranking for results in order to provide the user by the most relevant results. The modification suggested here depends on hyperlink analysis. In other words, it proposes to assign different weight to each link according to the domain it comes from The experiments showed that results produced by the modified algorithm were more wel relevant to the users query than those that were produced by the Google's original Page Rank Algorithm