Statistical and Machine Learning with Applications to a Hybrid Recommender System for Retail Data

We are in the process of creating and growing a team of researchers expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of customer behaviour. Through a data-sharing/consulting partnership we plan to perform research on the design of recommender systems customized for the data-sets available to brick and mortar retailers. These methods can be used in their physical and online loyalty programs as well as in their dynamical promotions/pricing strategies.

Intern: 
Hootan Rashtian
Ali Nadaf
Faculty Supervisor: 
Sathish Gopalakrishnan
Alexander Rutherford
Province: 
British Columbia
Partner University: 
Program: