Olfa Nasraoui

Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering

2019

Recommender Systems (RSs) are widely used to help online users discover products, books, news, music, movies, courses, restaurants, etc. Because a traditional recommendation strategy always shows the most relevant items (thus with highest predicted rating), …

Task Allocation for Nursing Robots Using Explainable Machine Learning with Factorization Machines

2025

We present a machine learning optimization approach for task allocation between teams of robots and nurses working collaboratively in a hospital unit. We address task allocation challenges through a recommender system that optimizes the collaboration …

Explainable Matrix Factorization for Collaborative Filtering

2016

Explanations have been shown to increase the user's trust in recommendations in addition to providing other benefits such as scrutability, which is the ability to verify the validity of recommendations. Most explanation methods are designed …