• DocumentCode
    3345538
  • Title

    Research and Implementation of Fast Locating Algorithm in Intelligent QA System

  • Author

    Zhao, Ming

  • Author_Institution
    Sch. of Comput. Sci., Yangzte Univ., Jingzhou, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    705
  • Lastpage
    709
  • Abstract
    With the development of network technology, E-Learning, becomes more popular, most learners want to get a right answer quickly in order, to meet the need of learners, in this paper, firstly we construct a simple index structure based on the contents of chapters and sections according to the characteristic oft E-learning, secondly, we propose a group of quick location algorithms according to the index structure, including Simple vector distance classification algorithm, Bayesian algorithm, KNN (K nearest neighbor) algorithm etc, Test results show that the algorithm can reduce the searching time about 50%, thus remarkably increase the match speed of problem and answer.
  • Keywords
    Bayes methods; intelligent tutoring systems; pattern classification; Bayesian algorithm; E-learning; K nearest neighbor algorithm; fast locating algorithm; intelligent QA system; network technology; quick location algorithm; simple index structure; simple vector distance classification; Bayesian methods; Classification algorithms; Computer science; Data structures; Genetics; Intelligent systems; Natural languages; Nearest neighbor searches; Sections; Testing; intelligent question answering system; natural language processing; quick location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.30
  • Filename
    5402808