• DocumentCode
    1855813
  • Title

    A Document-Based Information Retrieval Model Vector Space

  • Author

    Yubo, Jia ; Xing, Dong ; Yi, Wang ; Hongdan, Fan

  • Author_Institution
    Inst. of Inf. & Electron, Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2011
  • fDate
    21-24 Sept. 2011
  • Firstpage
    65
  • Lastpage
    68
  • Abstract
    Based on the study of traditional retrieval models, an improved model of vector space information retrieval has been proposed in the paper. The model has fully considered the effect of file structure on the importance of words. It can avoid the disadvantages of low recall and precision in the vector space model if the improved model is selected to calculate the similarity.
  • Keywords
    information retrieval; vectors; document based information retrieval model; file structure; vector space information retrieval; Computational modeling; Computers; Correlation; Indexes; Mathematical model; Search engines; Precision; Recall; Retrieval Model; Search Engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Distributed Computing (ICNDC), 2011 Second International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-0407-9
  • Type

    conf

  • DOI
    10.1109/ICNDC.2011.21
  • Filename
    6047108