8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.IR2022★ 8 cited
Justification of Recommender Systems Results: A Service-based Approach
Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono
With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are sugges…
cs.IR2020
Multi-faceted Trust-based Collaborative Filtering
Noemi Mauro, Liliana Ardissono, Zhongli Filippo Hu
Many collaborative recommender systems leverage social correlation theories to improve suggestion performance. However, they focus on explicit relations between users and they leav…