• DocumentCode
    2738974
  • Title

    An information retrieval system based on automatic query expansion and Hopfield network

  • Author

    Sheng, Xiuowei ; Minghu Jiang

  • Author_Institution
    Dept. of Chinese Language, Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1624
  • Abstract
    Automatic query expansion technique has been extensively used in a variety of information retrieval (IR) systems as a means of solving the problems of information overload and word mismatch. Based on the technique and Hopfield network, we propose a new IR model, called LCA-ANN model. With the heuristic function of Hopfield network, the new model is more precise in query expansion compared with other current models and can therefore enhance the performance greatly.
  • Keywords
    Hopfield neural nets; information retrieval systems; query formulation; Hopfield network; automatic query expansion; heuristic function; information retrieval system; local context analysis; word mismatch; Computational linguistics; Context modeling; Feedback; Information analysis; Information filtering; Information filters; Information resources; Information retrieval; Internet; Natural languages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281192
  • Filename
    1281192