IDEAS home Printed from https://ideas.repec.org/a/ids/ijbfmi/v10y2025i2p165-184.html
   My bibliography  Save this article

Automatic laptop purchase system based on case base reasoning technique

Author

Listed:
  • Aman Tyagi
  • Namit Khanduja

Abstract

Laptop market is booming once again. Demand of laptops is increasing very fast due to COVID-19 pandemic and lockdowns at many places. Moreover, trend for work from home, online classes and e-business are very common these days. People in many underdeveloped/developing countries are facing the problem in selecting new laptop due to lack of technical knowledge. The problem is more complex because of lot of varieties/brands are available in the market. There is a need of extensive research in this area. In the present work, a case base reasoning (CBR) method is proposed to address the problem of customers to select suitable laptop according to their requirements within their budget. CBR methodology helps in decision making of selection of laptop automatically. Two methods are also developed to update the recent technologies model in the database and also store the feedback from customers about their previous laptops.

Suggested Citation

  • Aman Tyagi & Namit Khanduja, 2025. "Automatic laptop purchase system based on case base reasoning technique," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 10(2), pages 165-184.
  • Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:165-184
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=145274
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:165-184. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=156 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.