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      Site-based dynamic pruning for query processing in search engines

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      Author(s)
      Altıngövde İsmail Şengör
      Demir, Engin
      Can, Fazlı
      Ulusoy, Özgür
      Date
      2008-07
      Source Title
      ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings
      Publisher
      ACM
      Pages
      861 - 862
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      156
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      Abstract
      Web search engines typically index and retrieve at the page level. In this study, we investigate a dynamic pruning strategy that allows the query processor to first determine the most promising websites and then proceed with the similarity computations for those pages only within these sites.
      Keywords
      Cluster-skipping
      Dynamic query pruning
      Inverted index
      Computer software
      Information retrieval
      Information services
      Query processing
      Research and development management
      Search engines
      Websites
      Cluster-skipping
      Dynamic query pruning
      Inverted index
      Page levels
      Pruning strategies
      Query processors
      Similarity computations
      Web search engines
      World Wide Web
      Permalink
      http://hdl.handle.net/11693/26759
      Published Version (Please cite this version)
      http://dx.doi.org/10.1145/1390334.1390543
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      • Department of Computer Engineering 1435
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