• DocumentCode
    2698333
  • Title

    Comparison of Different Recommendation Methods for an e-Commerce Application

  • Author

    Sobecki, Janusz ; Piwowar, Krzysztof

  • Author_Institution
    Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
  • fYear
    2009
  • fDate
    1-3 April 2009
  • Firstpage
    127
  • Lastpage
    131
  • Abstract
    E-commerce is one of the most important application of recommendation systems (RS). In this paper we examine several recommendation methods for application in Web-based gift recommendation systems. These methods were verified experimentally using MovieLens data set as well as data gathered during tests with the implemented SzukamCzegos.pl system.
  • Keywords
    Internet; electronic commerce; information filters; MovieLens data set; Web-based gift recommendation systems; e-commerce; recommendation systems; Application software; Collaboration; Computer science; Database systems; Deductive databases; Demography; Filtering; Informatics; System testing; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on
  • Conference_Location
    Dong Hoi
  • Print_ISBN
    978-0-7695-3580-7
  • Type

    conf

  • DOI
    10.1109/ACIIDS.2009.43
  • Filename
    5175980
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2698333