2 citations · 2 across the 3 of their papers we have counts for
3 papers
On the challenges of studying bias in Recommender Systems: A UserKNN case study
Savvina Daniil, Manel Slokom, Mirjam Cuper +3
Statements on the propagation of bias by recommender systems are often hard to verify or falsify. Research on bias tends to draw from a small pool of publicly available datasets an…
Aspect-Driven Structuring of Historical Dutch Newspaper Archives
Hermann Kroll, Christin Katharina Kreutz, Mirjam Cuper +2
Digital libraries oftentimes provide access to historical newspaper archives via keyword-based search. Historical figures and their roles are particularly interesting cognitive acc…
Hidden Author Bias in Book Recommendation
Savvina Daniil, Mirjam Cuper, Cynthia C. S. Liem +2
Collaborative filtering algorithms have the advantage of not requiring sensitive user or item information to provide recommendations. However, they still suffer from fairness relat…