• DocumentCode
    475663
  • Title

    Scheduling Strategy Based on the Collaboration of Agents for MSE

  • Author

    Dong, Qinhua ; Du, Yajun ; Wang, Fugui

  • Author_Institution
    Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu
  • Volume
    1
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    556
  • Lastpage
    560
  • Abstract
    Scheduling strategy for meta search engine is a crucial technology working on the search quality of the search results, and it is also an important research field. This paper discusses contemporary scheduling strategy of member search engine and agent technology, and puts forward a new scheduling strategy: scheduling strategy based on the collaboration of agents. Because all the agents can communicate with each other, expertness of member search engine can be learned and userpsilas feedback will be used to supervise the next search. Then the scheduling strategy not only improves the search quality but also makes the search quality more personalized. And the paper also designs and carries out the scheduling model. It has been approved that this scheduling strategy improves the search quality of meta search engine to an extent.
  • Keywords
    groupware; information retrieval; learning (artificial intelligence); multi-agent systems; scheduling; search engines; agent collaboration; agent technology; learning; metasearch engine; scheduling strategy; search quality; search result; user feedback; Collaboration; Collaborative work; Databases; Feedback; Genetic algorithms; Learning systems; Metasearch; Processor scheduling; Scheduling algorithm; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.300
  • Filename
    4609573