• DocumentCode
    1616791
  • Title

    Research on Optimizing Recommend System for Agriculture Information Personalization based on User Clustering

  • Author

    Yan, Zhao ; Shou-hua, Bai

  • Author_Institution
    Dept. of Comput. Sci. & Applic., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
  • fYear
    2012
  • Firstpage
    1477
  • Lastpage
    1480
  • Abstract
    In order to boost the development of agriculture informatization by improving the effective available information on Web. An hierachical users clustering algorithm is presented which is used to analy with agriculture web log, and is applied to recommend system for agriculture information personalization. The expectations are attaining users interests visiting pattern, and providing information personalization services for various user group. The experiment result verified the availability and feasibility by this method.
  • Keywords
    agriculture; optimisation; recommender systems; agriculture information personalization; agriculture web log; clustering algorithm; recommend system optimization; user clustering; Industrial control; Agriculture web; Cluster analysis; Personalization; Recommend system; Users interests;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.388
  • Filename
    6322678