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  • 标题:Prediction of the Query of Search Engine Using Back Propagation Algorithm
  • 本地全文:下载
  • 作者:Deepti Gupta ; Antima Puniya ; Komal Kumar Bhatia
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:5
  • 页码:1946-1959
  • 出版社:Engg Journals Publications
  • 摘要:The information user is depending on the Search Engine; therefore search engines are required as a prediction system to predict the next query hit by the user. Web mining techniques, like neural network can be used for this purpose. In this paper, a novel approach to predict the oncoming query for the search engine has been highlighted. This approach helps search engine to predict the oncoming query domain, by which search engine keeps most relevant web pages in the repository.
  • 关键词:Search Engine; Query; Neural Network; Backpropagtion Algorithm
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