• DocumentCode
    3315182
  • Title

    A Dynamic Weight Assignment Approach for IR Systems

  • Author

    Shoaib, M. ; Shah, A. ; Vashishta, A.

  • Author_Institution
    Department of Computer Science & Engineering University of Engineering and Technology Lahore, Pakistan
  • fYear
    2005
  • fDate
    27-28 Aug. 2005
  • Firstpage
    272
  • Lastpage
    275
  • Abstract
    Weights are assigned to the extracted keywords for partial matching and computing ranking in an IR system. Weight assignment technique is suggested by the IR model that is used for an IR system. Currently suggested weight assignment techniques are static which means that once weight is assigned a keyword it remains unchanged during life-span of an IR system. In this paper, we suggest a dynamic weight assignment technique. This technique can be used by any IR model that supports partial matching.
  • Keywords
    Dynamic weight assignment; information retrieval techniques; Computer science; Data mining; Indexing; Information retrieval; Logic; Natural language processing; Optical computing; Search engines; Software engineering; Dynamic weight assignment; information retrieval techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2005. ICICT 2005. First International Conference on
  • Print_ISBN
    0-7803-9421-6
  • Type

    conf

  • DOI
    10.1109/ICICT.2005.1598599
  • Filename
    1598599