Savvina Daniil

Full Name

S. Daniil

Email

Savvina.Daniil@cwi.nl

Phone

+31 20 592 4322

Room

L328

Department(s)

Human-Centered Data Analytics

Function(s)

PhD student

Savvina Daniil

Daniil, S., Slokom, M., Cuper, M., Liem, C., van Ossenbruggen, J., & Hollink, L. (2025). On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration. Information Retrieval Research, 1(1), 3–27. doi:0.54195/irrj.19607
Daniil, S. (2024). Bias in book recommendation. In Proceedings of the ACM Conference on Recommender Systems (pp. 1376–1381). doi:10.1145/3640457.3688025
Vrijenhoek, S., Daniil, S., Sandel, J. J., & Hollink, L. (2024). Diversity of what? On the different conceptualizations of diversity in recommender systems. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024 (pp. 573–584). doi:10.1145/3630106.3658926
Daniil, S., Cuper, M., Liem, C., van Ossenbruggen, J., & Hollink, L. (2024). Reproducing popularity bias in recommendation: The effect of evaluation strategies. ACM Transactions on Recommender Systems, 2(1), 5:1–5:39. doi:10.1145/3637066
Daniil, S. (2022). Ethical Recommenders in the Public Library Sector. In AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. doi:10.1145/3514094.3539536

Women in RecSys Journal Paper of the Year Award 2024 (2024)
ICT.OPEN 2023 Poster award: 1st prize (2023)
Polyvocality Award (Meerstemmigheidsprijs) at the annual hackathon, Netwerk Digitaal Erfgoed (2022)

Responsible Recommenders in the Public Library (PPS Koninklijke Bibliotheek)