Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System

Zachary A. Pardos, Weijie Jiang

Collaborative filtering based algorithms, including Recurrent Neural Networks (RNN), tend towards predicting a perpetuation of past observed behavior. In a recommendation context,…