• DocumentCode
    2017084
  • Title

    Learning user model by neural networks

  • Author

    Yasdi, Ramin

  • Author_Institution
    Inst. for Human-Comput. Interaction, German Nat. Res. Center for Inf. Technol., St. Augustin, Germany
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    48
  • Abstract
    As more information becomes available electronically, tools for finding information of interest to users become increasingly important. Building tools for assisting users in finding relevant information is often complicated by the difficulty in articulating user interest in a form that can be used for searching. The goal of the research described is to build a system for generating comprehensible user profiles that accurately capture user interest with minimum user interaction
  • Keywords
    information retrieval; learning (artificial intelligence); neural nets; online front-ends; user modelling; comprehensible user profiles; information retrieval; minimum user interaction; neural networks; relevant information; searching; user interest; user model learning; Books; Human factors; IEEE news; Information filtering; Information filters; Information resources; Information technology; Neural networks; Text categorization; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-5871-6
  • Type

    conf

  • DOI
    10.1109/ICONIP.1999.843960
  • Filename
    843960