• DocumentCode
    279090
  • Title

    Cluster-based adaptive information retrieval

  • Author

    Bhuyan, Jay N. ; Deogun, Jitender S. ; Raghavan, Vijay V.

  • Author_Institution
    Dept. of Comput. Sci., Tuskegee Univ., AL, USA
  • Volume
    i
  • fYear
    1991
  • fDate
    8-11 Jan 1991
  • Firstpage
    307
  • Abstract
    The paper discusses the issues involved in the design of a complete information retrieval system based on user-oriented clustering schemes. Clusters are constructed taking into account the users´ perception of similarity between documents. The system accumulates feed-back from the users and employs it to construct user-oriented clusters. An optimization function to improve the effectiveness of the clustering process is developed. A retrieval process based on the clustering scheme is described. The system developed is experimentally validated and compared with existing systems
  • Keywords
    adaptive systems; information retrieval; cluster based adaptive information retrieval; co-relevant; document classification; document similarity; information retrieval system; optimization function; relevance feedback; user-oriented clustering schemes; Computer science; Feedback; Indexing; Information retrieval; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • Type

    conf

  • DOI
    10.1109/HICSS.1991.183900
  • Filename
    183900