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  • 标题:Comparative study of Page Ranking Algorithms for Web Mining
  • 本地全文:下载
  • 作者:Shruti Aggarwal ; Parneet Kaur
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:4-5
  • 页码:898-902 April Issue 2013 .ISSN 2231
  • 出版社:Seventh Sense Research Group
  • 摘要:The World Wide Web is growing rapidly so there should be some means to provide information relevant to user. This need results in number of search engines that aims to provide information as per users need. Web search engines relies on various Page Ranking algorithms for finding suitable answers for user queries. In this review paper various Page Rank algorithms like PageRank, Distance PageRank and HITS used for Information Retrieval are discussed and compared. We compare the algorithm on the simulation interface.
  • 关键词:Web Mining; PageRank; Eigenvector; HITS; Distance Rank
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