Ethical Recommenders in the Public Library Sector. - Savvina Daniil (AIES, 2022)

Hidden Author Bias in Book Recommendation. - Savvina Daniil; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (CoRR, 2022)

Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems. - Sanne Vrijenhoek; Savvina Daniil; Jorden Sandel; Laura Hollink (FAccT, 2024)

Bias in Book Recommendation. - Savvina Daniil (RecSys, 2024)

On the challenges of studying bias in Recommender Systems: A UserKNN case study. - Savvina Daniil; Manel Slokom; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (CoRR, 2024)

Reproducing Popularity Bias in Recommendation: The Effect of Evaluation Strategies. - Savvina Daniil; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (Trans. Recomm. Syst., 2024)

How to Diversify any Personalized Recommender? - Manel Slokom; Savvina Daniil; Laura Hollink (ECIR (4), 2025)

Estimating Bias in Book Recommender Systems. - Savvina Daniil; Laura Hollink (ERCIM News, 2025)

On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration. - Savvina Daniil; Manel Slokom; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (Inf. Retr. Res. J., 2025)