DocumentCode
258382
Title
Product recommendation system for small online retailers using association rules mining
Author
Junnan Chen ; Miller, Colin ; Dagher, Gaby G.
fYear
2014
fDate
13-15 Aug. 2014
Firstpage
71
Lastpage
77
Abstract
Recommendation systems in e-commerce have become essential tools to help businesses increase their sales. In this paper, we detail the design of a product recommendation system for small online retailers. Our system is specifically designed to address the needs of retailers with small data pools and limited processing power, and is tested for accuracy, efficiency, and scalability on real life data from a small online retailer.
Keywords
Internet; data mining; electronic commerce; recommender systems; retailing; association rules mining; data pools; e-commerce; product recommendation system design; small online retailers; Algorithm design and analysis; Association rules; Companies; Databases; Libraries; Data Mining; Database Management; E-commerce; Performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Design and Manufacturing (ICIDM), Proceedings of the 2014 International Conference on
Conference_Location
Montreal, QC
Print_ISBN
978-1-4799-6269-3
Type
conf
DOI
10.1109/IDAM.2014.6912673
Filename
6912673
Link To Document