1 citations · 1 across the 3 of their papers we have counts for
4 papers
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems
Patrick John Chia, Giuseppe Attanasio, Jacopo Tagliabue +5
Recommender Systems today are still mostly evaluated in terms of accuracy, with other aspects beyond the immediate relevance of recommendations, such as diversity, long-term user r…
EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments
Federico Bianchi, Patrick John Chia, Ciro Greco +5
EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a m…
A Multi-scale Visual Analytics Approach for Exploring Biomedical Knowledge
Fahd Husain, Rosa Romero-Gomez, Emily Kuang +5
This paper describes an ongoing multi-scale visual analytics approach for exploring and analyzing biomedical knowledge at scale.We utilize global and local views, hierarchical and…
A Mixed-Initiative Visual Analytics Approach for Qualitative Causal Modeling
Fahd Husain, Pascale Proulx, Meng-Wei Chang +2
Modeling complex systems is a time-consuming, difficult and fragmented task, often requiring the analyst to work with disparate data, a variety of models, and expert knowledge acro…