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  • 标题:A Survey on Personalized Meta Search Engine
  • 本地全文:下载
  • 作者:Preeti Naval ; Priyanka Singh
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:3
  • 出版社:S.S. Mishra
  • 摘要:Information retrieval is a very important technique. Web Mining is the use full field for this technique by using search engine. Search Engines are widely used for information retrieval, but there are lots of WebPages over the internet an d a single search engine cannot covers all the web pages .For this purpose we select the Meta Search Engine. Meta Search Engines are the collection of Search Engines. Meta Search Engine send the user query to all the member search engine and retrieve the result from that Search Engine and returned to user. But now a day's user want a personalize their search. So that the result accurately satisfies th e users goal. This paper makes the following contribution to the personalize information retrieval: Based on More result returns, Based on the user experience, and Based on the relevance sorted member search engine and so on.
  • 关键词:Information Retrieval; Web mining; Personalization; Search Engine.
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