• DocumentCode
    3241920
  • Title

    Dynamic pages sequencing strategy

  • Author

    Guo-shun, Wang

  • Author_Institution
    Coll. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    591
  • Lastpage
    593
  • Abstract
    This paper takes search engines as the research object. By analyzed the popular search engines, this paper raise a new strategy. Popular search engines just passively accept user information. When search engines receive information from users, it returns page information to users from database. Once accept user information and return information, search engines complete the basic task. Search engines do not consider that the user´s information is not accuracy and is dynamic. This paper base on the idea that the user exchange information with the search engines constantly. Search engines should track users to get useful information of user. The goal of collecting information is to update the database. This paper has analyzed the development of the search engine technology, and brought out the search engine research based on intelligent Agent. The author introduces a sort of new search engine model based on AI technology.
  • Keywords
    Internet; information resources; multi-agent systems; search engines; AI technology; Internet; Web; dynamic pages sequencing strategy; information collection; information resources; intelligent agent; return information; search engine model; user information; Correlation; Databases; correlation coefficient; database; ranking algorithm; search engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014794
  • Filename
    6014794