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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 4, APRIL 2017

Product Recommendation Based on Customer Behaviour using Data Mining

Sourabh Joshi, Pranav Phate, Naman Jain, Abhijeet R. Raipurkar

DOI: 10.17148/IJARCCE.2017.64144

Abstract: Product Recommendation involves suggesting prospective customers to purchase additional products by analyzing their purchase history, similarity of buying pattern with respect to other customers, and items in their shopping basket. This process of recommending products comes under the domain of �Market Basket Analysis� and �Data Mining�. The proposed system will be handled by an e-commerce website admin, wherein the admin will input the name of a customer for whom the e-commerce site wants to recommend products based on similar customer behaviour using data mining.



Keywords: Product Recommendation, E-commerce Market Basket Analysis, Data Mining.

How to Cite:

[1] Sourabh Joshi, Pranav Phate, Naman Jain, Abhijeet R. Raipurkar, “Product Recommendation Based on Customer Behaviour using Data Mining,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.64144