• DocumentCode
    3228411
  • Title

    A heuristic web information retrieval method

  • Author

    Yang, Yi ; Peng, Yan-Ni ; Tang, Can

  • Author_Institution
    Coll. of Comput. Sci. & Inf. Eng., CTBU, Chongqing, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    1292
  • Lastpage
    1296
  • Abstract
    In view of the poor information retrieval performance because of numerous disordered and semi-structured web information, a heuristic web information retrieval method which combines query intention classification research and topic-specific retrieval is proposed. In this method, a web retrieval model based on a scheme of one pretreatment and two retrievals is presented, and it discusses its designing principle, key technology and algorithm. Simulation experiments show that the proposed method can obviously improve retrieval performance compared with traditional information retrieval methods.
  • Keywords
    Internet; information retrieval; heuristic Web information retrieval method; pretreatment; query intention classification research; topic-specific retrieval; Algorithm design and analysis; Computer science; Computer science education; Data mining; Displays; Educational institutions; Indexing; Information retrieval; Internet; Search engines; heuristic; information retrieval; query behaviors; query intention classification; retrieval performance; topic-specific retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228142
  • Filename
    5228142