• DocumentCode
    1513359
  • Title

    Adaptive Automata in Recommendation Systems

  • Author

    Zorzo, S.D. ; Cereda, P.R.M. ; Gotardo, R.A.

  • Author_Institution
    Univ. Fed. de Sao Carlos, São Carlos, Brazil
  • Volume
    9
  • Issue
    2
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    152
  • Lastpage
    159
  • Abstract
    The recommendation systems look for to offer customized products to their users. These systems identify the users preferences and the preferences of the rest of the community to the products available. This article presents a recommendation system that uses an adaptive automaton to store the relationship between resources and the users´ preferences and determine the possible recommendations customized to each of its users. The details of the implementation are presented and discussed. An experiment is presented for verification and analysis of the recommendations generated in the developed system.
  • Keywords
    automata theory; recommender systems; user interfaces; adaptive automata; recommendation systems; user preference; Adaptation model; Adaptive systems; Automata; Business; Computer bugs; Electronic mail; Internet; Adaptive Automata; Recommendation systems; personalization;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2011.5765568
  • Filename
    5765568
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1513359