Search (7 results, page 1 of 1)

  • × theme_ss:"Data Mining"
  • × theme_ss:"Suchmaschinen"
  1. Baeza-Yates, R.; Hurtado, C.; Mendoza, M.: Improving search engines by query clustering (2007) 0.05 
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    Abstract
    In this paper, we present a framework for clustering Web search engine queries whose aim is to identify groups of queries used to search for similar information on the Web. The framework is based on a novel term vector model of queries that integrates user selections and the content of selected documents extracted from the logs of a search engine. The query representation obtained allows us to treat query clustering similarly to standard document clustering. We study the application of the clustering framework to two problems: relevance ranking boosting and query recommendation. Finally, we evaluate with experiments the effectiveness of our approach.
    Theme
    Suchmaschinen
  2. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.02 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
    Theme
    Suchmaschinen
  3. Hölzig, C.: Google spürt Grippewellen auf : Die neue Anwendung ist bisher auf die USA beschränkt (2008) 0.01 
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    Date
    3. 5.1997 8:44:22
    Theme
    Suchmaschinen
  4. Search tools (1997) 0.01 
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    Theme
    Suchmaschinen
  5. Whittle, M.; Eaglestone, B.; Ford, N.; Gillet, V.J.; Madden, A.: Data mining of search engine logs (2007) 0.01 
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    Theme
    Suchmaschinen
  6. Shi, X.; Yang, C.C.: Mining related queries from Web search engine query logs using an improved association rule mining model (2007) 0.01 
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    Theme
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  7. Liu, Y.; Zhang, M.; Cen, R.; Ru, L.; Ma, S.: Data cleansing for Web information retrieval using query independent features (2007) 0.01 
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    Theme
    Suchmaschinen

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