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  • 标题:A Survey on Automatically Mining Facets for Web Queries
  • 其他标题:A Survey on Automatically Mining Facets for Web Queries
  • 本地全文:下载
  • 作者:Duhita Pawar ; Vina M. Lomte
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2017
  • 卷号:7
  • 期号:6
  • 页码:3700-3704
  • DOI:10.11591/ijece.v7i6.pp3700-3704
  • 语种:English
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:In this paper, a detailed survey on different facet mining techniques, their advantages and disadvantages is carried out. Facets are any word or phrase which summarize an important aspect about the web query. Researchers proposed different efficient techniques which improves the user’s web query search experiences magnificently. Users are happy when they find the relevant information to their query in the top results. The objectives of their research are: (1) To present automated solution to derive the query facets by analyzing the text query; (2) To create taxonomy of query refinement strategies for efficient results; and (3) To personalize search according to user interest.
  • 其他摘要:In this paper, a detailed survey on different facet mining techniques, their advantages and disadvantages is carried out. Facets are any word or phrase which summarize an important aspect about the web query. Researchers proposed different efficient techniques which improves the user’s web query search experiences magnificently. Users are happy when they find the relevant information to their query in the top results. The objectives of their research are: (1) To present automated solution to derive the query facets by analyzing the text query; (2) To create taxonomy of query refinement strategies for efficient results; and (3) To personalize search according to user interest.
  • 关键词:algorithms; intelligent; methods; navigation; problems
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