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文章基本信息

  • 标题:Frequent Web Access Pattern Mining for Web Users using Query Logs
  • 本地全文:下载
  • 作者:Shanti Swaroop Moharana ; Satya Prakash Sahoo ; Dr. Manas Ranjan Kabat
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:218-222
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Search engines are used to retrieve the useful and relevant information from the web. When the user submits the query to the search engine, it records the access in query log file. The performance of the search engine is improved by mining the query log files. In this paper we propose a method to cluster the web users based on their query interest and access patterns. The proposed algorithm cleans the query log file, retrieve the users and their sessions, Generate the query cluster and find the relationship between the different users and they can share their profile like the users with same interest share their profiles in the social networks.
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