Merchant Recommendation Systems

American Express Computer Science/Mathematics, 2014-15

Liaison(s): ChienHsun Huang, Matthew Meyer, Huiming Qu, Henry Yuan
Advisor(s): Elizabeth Sweedyk
Students(s): Arthur Chi, Corey Hayes, Billy Mills, Tongjia Shi (PM-S), Matthew Wilber (PM-F)

American Express provides financial services to much of the United States and world populations and maintains a large network of cardholder transaction data. This gives American Express the potential to make high quality recommendations to cardholders, suggesting small businesses they would enjoy but have yet to discover. The Clinic project aims to explore a variety of recommendation algorithms to improve upon the performance and scalability of the current American Express recommendation engine.