EconPapers    
Economics at your fingertips  
 

Automatic laptop purchase system based on case base reasoning technique

Aman Tyagi and Namit Khanduja

International Journal of Business Forecasting and Marketing Intelligence, 2025, vol. 10, issue 2, 165-184

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.

Keywords: case base reasoning; CBR system; decision support system; knowledge base; laptop purchase decision. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=145274 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:165-184

Access Statistics for this article

More articles in International Journal of Business Forecasting and Marketing Intelligence from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-04-08
Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:165-184