Search engines play a very important role in web, to retrieve the relevant documents among the large variety of sites. However, it retrieves a lot of variety of documents, that are all relevant to your search topics. To retrieve the foremost purposeful documents associated with search topics, ranking rule is employed in data retrieval technique. one amongst the problems in data miming is ranking the retrieved document. In information retrieval the ranking is one amongst the sensible issues. This paper includes numerous Page Ranking algorithms, page segmentation algorithms and compares those algorithms used for data Retrieval. various Page Rank based mostly algorithms like Page Rank (PR), Weighted Page Rank (WPR), Weight Page Content Rank (WPCR), hyperlink induced Topic choice (HITS), Distance Rank, eigen Rumor, Distance Rank Time Rank, Tag Rank, relational based mostly Page Rank and question Dependent Ranking algorithms are mentioned and compared.