Mathematics Seminar: Automated Recommender Systems

Alecia Lambert: Automated Recommender Systems

Using collaborative filtering techniques, I have designed a miniature recommender system, inspired by the Pandora system.  There are two types of collaborative filtering strategies: user-based filtering and item-based filtering; depending on the responses from users, one is more advantageous than the other.  The algorithm produced from these varying strategies computes how closely related the target song is to the previously rated song.  By incorporating varying techniques and attributes of music, a hybrid similarity calculation can be made resulting in an even stronger recommender system!

Event Date: 
04/28/2014 - 12:00pm to 1:00pm
Current Students
Faculty & Staff
Parents & Families
Future Students
Location: 
Hurst 101
Contact: 
Andy Keck
Phone: 
943-2802