• DocumentCode
    931745
  • Title

    Recommendation technology: will it boost e-commerce?

  • Author

    Leavitt, Neal

  • Volume
    39
  • Issue
    5
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    Recommendation engines are becoming a critical part of many e-commerce sites. The approach uses complex algorithms to analyze large volumes of data and determine what products that potential consumers might want to buy based on their stated preferences, online shopping choices, and the purchases of people with similar tastes or demographics. Recommendation technology must also be able to reach out to small and medium-size businesses and be robust and cost-effective.
  • Keywords
    electronic commerce; retail data processing; small-to-medium enterprises; complex algorithm; demographics; e-commerce sites; medium-size business; online shopping choices; recommendation engine technology; small-size business; Collaborative work; DVD; Engines; Filtering; History; Market research; Marketing and sales; Online Communities/Technical Collaboration; Shape; World Wide Web; E-commerce; Recommendation technology;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2006.176
  • Filename
    1631932