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文章基本信息

  • 标题:User Search Optimazition
  • 本地全文:下载
  • 作者:Ravindra Reddy Koyya ; Phani Ratna Sri Redipalli
  • 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:2013
  • 卷号:4
  • 期号:3
  • 页码:254-257
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Gradually people are using the internet for different purpose and providing complex tasks to the web. Basically during travel planning, purchasing through online we give a complex job to web where it issue multiple queries repeatedly over a long period of time. To better support users in this stage on the internet, search engines always keep track of the queries raise by the user while searching online. This paper, analyze and study the problem of organizing the users queries into different groups dynamically. . In our approach, we proposed a method which not only take care of textual similarity or time thresholds, but also leverages search query logs. We perform different experiments and shows that this technique works better than the previous one.
  • 关键词:User History;Grouping;Query Processing;Textual Similarity
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