New Explainable Active Learning Approach for Recommender Systems
Sami Khenissi, Behnoush Abdollahi, Wenlong Sun, Pegah Sagheb, Olfa Nasraoui · UKnowledge (University of Kentucky) · 2017
Introduction and Motivations Recommender Systems are intelligent programs that analyze patterns between items and users to predict the user’s taste. Objective Design an efficient Active Learning Strategy to increase the explainability and the accuracy of an “Explainable Matrix Factorization” model.