Physical Sciences and Mathematics Commons^™

New Explainable Active Learning Approach For Recommender Systems, Sami Khenissi, Behnoush Abdollahi, Wenlong Sun, Pegah Sagheb, Olfa Nasraoui

Commonwealth Computational Summit

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.