• DocumentCode
    2888934
  • Title

    Resource Recommendation Using Adaptive Automaton

  • Author

    Cereda, Paulo Roberto Massa ; Gotardo, Reginaldo Aparecido ; Zorzo, Sergio Donizetti

  • Author_Institution
    Comput. Sci. Dept., Fed. Univ. of Sao Carlos, Sao Carlos, Brazil
  • fYear
    2009
  • fDate
    18-20 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Recommender systems identify preferences of a certain user, as well as the rest of a community, related to the available resources, aiming at providing personalized resources to the users. This paper presents a recommender system using an adaptive automaton to analyze the existing relationships among resources and users, and determine the possible personalized recommendations. An experiment is presented in order to verify and analyze the generated recommendation on the developed system.
  • Keywords
    recommender systems; adaptive automaton; personalized recommendation; recommender systems; Adaptive systems; Automata; Automation; Collaboration; Data analysis; Data mining; Information filtering; Information filters; Internet; Recommender systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2009. IWSSIP 2009. 16th International Conference on
  • Conference_Location
    Chalkida
  • Print_ISBN
    978-1-4244-4530-1
  • Electronic_ISBN
    978-1-4244-4530-1
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2009.5367803
  • Filename
    5367803
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2888934