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  • 标题:SURVEY ON INFERRING USER SEARCH GOAL USING FEEDBACK SESSION
  • 本地全文:下载
  • 作者:D.Kavitha ; K.M.Subramanian ; K.Venkatachalam
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2013
  • 卷号:2
  • 期号:12
  • 页码:3231-3237
  • 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. Analyzing user search goal is essential to provide best result for which the user looks for in the internet. Feedback sessions have been clustered to discover different user search goals for a query. Pseudo-documents are generated through feedback sessions for clustering. To understand the user search goals efficiently using Classified Average precision (CAP) algorithm.
  • 关键词:Data mining; user search goals; feedback ; sessions; pseudo-documents; classified average precision
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