Anastasiia Klimashevskaia

Research in the field of Recommender Systems, Natural Language Processing and Digital Humanities.

Previously worked on:

Currently working on:

Lecture

Show author(s) (2022). Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.

Academic lecture

Show author(s) (2022). Popularity Bias as Ethical and Technical Issue in Recommendation: A Survey.

Academic anthology/Conference proceedings

Show author(s) (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. Association for Computing Machinery (ACM).

Academic chapter/article/Conference paper

Show author(s) (2023). Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. 6 pages.

Show author(s) (2022). Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. 9 pages.

Poster

Show author(s) (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models.

Show author(s) (2021). Exploring Recommender Systems: Towards Fair and Ethical Recommendation.

Academic literature review

Show author(s) (2022). Popularity Bias as Ethical and Technical Issue in Recommendation: A Survey. Norsk Informatikkonferanse (NIK).

Publications:

Klimashevskaia A. (2022). Popularity Bias as Ethical and Technical Issue in Recommendation: A Survey. NIK Norsk informatikkonferanse. Preprint.
Klimashevskaia, A., Elahi, M., Jannach, D., Trattner, C., & Skjærven, L. (2022). Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. In International Workshop on Algorithmic Bias in Search and Recommendation (pp. 82-90). Springer, Cham.
Klimashevskaia, A., Gadgil, R., Gerrity, T., Khosmood, F., Gütl, C., & Howe, P. (2021, November). Automatic News Article Generation from Legislative Proceedings: A Phenom-Based Approach. In International Conference on Statistical Language and Speech Processing (pp. 15-26). Springer, Cham.
Klimashevskaia, A., Geiger, B. C., Hagmüller, M., Helic, D., & Fischer, F. (2020). To be or not to be central"-On the Stability of Network Centrality Measures in Shakespeare's" Hamlet. In 15th Annual International Conference of the Alliance of Digital Humanities Organizations, DH 2020, Ottawa, Canada, July 20-25, 2020, Conference Abstracts.

Theses:

Klimashevskaia, A. (2020) Automatic Summary Generation from Legislative Proceedings. Master's Thesis. Advisor: Christian Guetl, Foaad Khosmood. Graz University of Technology, Graz, Austria.

Investigating Bias Mitigation Techniques for Fairness and Diversity in Recommender Systems - PhD Research at MediaFutures in collaboration with TV2 Norway

I am fluent in Russian and English, speak good German with an Austrian dialect and know a bit of Italian and Norwegian.
I've attended kids art school for 7 years and wanted to become an artist before I ended up in Computer Science.
I like hiking, making pictures, reading, cooking and playing games - both computer and tabletop.
I've lived most of my life in Moscow, however have also spent considerable amount of time in Graz, Austria, where I did my Master study. I've also had an opportunity to stay in San Luis Obispo, California, US for 7 months during my master thesis research. Now I am residing in Bergen, Norway.
I am a big cat person ~(=^‥^)/

Fields of competence

Research groups