TY - JFULL AU - Ashutosh Kumar Singh and Ravi Kumar P PY - 2009/5/ TI - A Comparative Study of Page Ranking Algorithms for Information Retrieval T2 - International Journal of Computer and Information Engineering SP - 1153 EP - 1165 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/3153 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 28, 2009 N2 - This paper gives an introduction to Web mining, then describes Web Structure mining in detail, and explores the data structure used by the Web. This paper also explores different Page Rank algorithms and compare those algorithms used for Information Retrieval. In Web Mining, the basics of Web mining and the Web mining categories are explained. Different Page Rank based algorithms like PageRank (PR), WPR (Weighted PageRank), HITS (Hyperlink-Induced Topic Search), DistanceRank and DirichletRank algorithms are discussed and compared. PageRanks are calculated for PageRank and Weighted PageRank algorithms for a given hyperlink structure. Simulation Program is developed for PageRank algorithm because PageRank is the only ranking algorithm implemented in the search engine (Google). The outputs are shown in a table and chart format. ER -