• DocumentCode
    892542
  • Title

    Comparing Recommendation Strategies in a Commercial Context

  • Author

    Zanker, Markus ; Jannach, Dietmar ; Gordea, Sergiu ; Jessenitschnig, Markus

  • Author_Institution
    Klagenfurt Univ.
  • Volume
    22
  • Issue
    3
  • fYear
    2007
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    From an industrial perspective, recommender systems constitute the base technology for providing interactivity and personalization in electronic business-to-consumer marketplaces. Robin Burke distinguishes between five different recommendation techniques: collaborative, content based, utility based, demographic, and knowledge based.
  • Keywords
    electronic commerce; information filtering; collaborative recommendation; content based recommendation; demographic recommendation; e-commerce; electronic business-to-consumer marketplaces; knowledge based recommendation; utility based recommendation; Collaboration; Consumer electronics; Demography; Electronics industry; Industrial electronics; Information filtering; Information filters; Marketing and sales; Read only memory; Recommender systems; Evaluation; Personalization; Recommender Systems;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2007.49
  • Filename
    4216983
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=892542