@inproceedings{b9ac755928ae4a8691231614457d3d3d,
title = "Product recommendation system for small online retailers using association rules mining",
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 = "Data Mining, Database Management, E-commerce, Performance",
author = "Junnan Chen and Courtney Miller and Dagher, {Gaby G.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014 ; Conference date: 13-08-2014 Through 15-08-2014",
year = "2014",
month = sep,
day = "26",
doi = "10.1109/IDAM.2014.6912673",
language = "English",
series = "Proceedings of the 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "71--77",
editor = "Yong Zeng and Yong Chen and Yong Chen and Sofiane Achiche and Weiming Shen and Anjali Awasthi and Chih-Hsing Chu and Caterina Rizzi and Chun Wang",
booktitle = "Proceedings of the 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014",
}