New Explainable Active Learning Approach for Recommender Systems

Presenter Information

Sami Khenissi, University of Louisville
Behnoush Abdollahi, University of Louisville
Wenlong Sun, University of Louisville
Pegah Sagheb, University of Louisville
Olfa Nasraoui, University of LouisvilleFollow

Start Date

10-17-2017 10:00 AM

Description

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.