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  • 标题:A novel method for indexing and restructuring search results with Feedback Sessions
  • 本地全文:下载
  • 作者:Veeresh Ramappa ; G. F. Ali Ahammed
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:6
  • 页码:1997-2003
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Data Mining refers to extracting or "mining" knowledge from large amounts of data. It is also called as knowledge mining from data. Search engine is one of the most important applications in today's internet. Users collect required information through the search engine in the internet. Generally a query given to the search engine can have different meaning for each user. i.e., each user has different search goals for the given query. The understanding of these different search goals helps in providing better results to the user. Firstly, different user search goals are identified with the help of the feedback session. Feedback session is one in which the last URL is the clicked one. Secondly Feedback sessions are converted to the binary vector which can efficiently reflect user information needs.
  • 关键词:Binary vector; Data mining; Indexing; ; Restructuring search results; User search goals
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