32 citations · 161 across the 13 of their papers we have counts for
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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.IR2022★ 15 cited
Using consumer feedback from location-based services in PoI recommender systems for people with autism
Noemi Mauro, Liliana Ardissono, Stefano Cocomazzi +1
When suggesting Points of Interest (PoIs) to people with autism spectrum disorders, we must take into account that they have idiosyncratic sensory aversions to noise, brightness an…