Product recommendation system for small online retailers using association rules mining

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...

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Bibliographic Details
Published inProceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM) pp. 71 - 77
Main Authors Junnan Chen, Miller, Courtney, Dagher, Gaby G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2014
Subjects
Algorithm design and analysis
Association rules
Companies
Data Mining
Database Management
E-commerce
Libraries
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DOI10.1109/IDAM.2014.6912673

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Summary: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.
DOI:10.1109/IDAM.2014.6912673