Irina Nalis-Neuner

Projektass.in Mag.a rer.nat. Dr.in rer.nat.

Role

PostDoc Researcher
Data Science, E194-04

Contact

Publications

Bridging Preferences: Multi-Stakeholder Insights on Ideal News Recommendations / Kolb, T. E., Nalis, I., & Neidhardt, J. (2025). Bridging Preferences: Multi-Stakeholder Insights on Ideal News Recommendations. In UMAP ’25: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (pp. 268–272). Association for Computing Machinery. https://doi.org/10.1145/3699682.3728355
Project: CDL-RecSys (2022–2028)
Context over Categories: Implementing the Theory of Constructed Emotion with LLM-Guided User Analysis / Klüwer, N., Nalis, I., & Neidhardt, J. (2025). Context over Categories: Implementing the Theory of Constructed Emotion with LLM-Guided User Analysis. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. 2025 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan. https://doi.org/10.1145/3706599.3721205
Towards Possibility: Interdisciplinary Perspectives on Enhancing Recommender Systems Beyond Accuracy / Nalis, I., & Neidhardt, J. (2024, October 12). Towards Possibility: Interdisciplinary Perspectives on Enhancing Recommender Systems Beyond Accuracy [Conference Presentation]. ACM Europe School on Recommender Systems 2024, Bari, Italy. http://hdl.handle.net/20.500.12708/210789
Navigating Serendipity - An Experimental User Study On The Interplay of Trust and Serendipity In Recommender Systems / Nalis, I., Sippl, T., Kolb, T. E., & Neidhardt, J. (2024). Navigating Serendipity - An Experimental User Study On The Interplay of Trust and Serendipity In Recommender Systems. In UMAP Adjunct ’24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 386–393). https://doi.org/10.1145/3631700.3664901
Project: CDL-RecSys (2022–2028)
Like a Skilled DJ - an Expert Study on News Recommendations Beyond Accuracy / Kolb, T. E., Nalis-Neuner, I., & Neidhardt, J. (2023). Like a Skilled DJ - an Expert Study on News Recommendations Beyond Accuracy. In B. Kille (Ed.), Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023). CEUR-WS.org. https://doi.org/10.34726/5332
Download: PDF (530 KB)
Project: CDL-RecSys (2022–2028)
News Diversity and Well-Being – An Experimental Exploration Of Diversity-Aware Recommender Systems / Basso, L., Nalis-Neuner, I., & Neidhardt, J. (2023). News Diversity and Well-Being – An Experimental Exploration Of Diversity-Aware Recommender Systems. In FAccTRec Program. 6th FAccTRec Workshop on Responsible Recommendation at RecSys 2023, Singapur, Singapore.
Project: CDL-RecSys (2022–2028)
Digital Humanism for Sustainable Solutions to Wicked Problems: A Workshop Exploring Collective Intelligence Design / Nalis-Neuner, I. (2023, September). Digital Humanism for Sustainable Solutions to Wicked Problems: A Workshop Exploring Collective Intelligence Design [Keynote Presentation]. 2nd ACM Digital Humanism Summer School, Wien, Austria. http://hdl.handle.net/20.500.12708/192558
Project: CDL-RecSys (2022–2028)
Not Facial Expression, nor Fingerprint – Acknowledging Complexity and Context in Emotion Research for Human-Centered Personalization and Adaptation / Nalis, I., & Neidhardt, J. (2023). Not Facial Expression, nor Fingerprint – Acknowledging Complexity and Context in Emotion Research for Human-Centered Personalization and Adaptation. In Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 325–330). Association for Computing Machinery. https://doi.org/10.1145/3563359.3596990
Project: CDL-RecSys (2022–2028)
Sentiment Analysis - psychological perspective / Nalis-Neuner, I. (2023, January 25). Sentiment Analysis - psychological perspective [Presentation]. ÖAW Winter School 2023, Wien, Austria.
Project: CDL-RecSys (2022–2028)
Recommender Systems: Techniques, Effects, and Measures Toward Pluralism and Fairness / Knees, P., Neidhardt, J., & Nalis-Neuner, I. (2023). Recommender Systems: Techniques, Effects, and Measures Toward Pluralism and Fairness. In H. Werthner, C. Ghezzi, & J. Kramer (Eds.), Introduction to Digital Humanism : A Textbook (pp. 417–434). Springer. https://doi.org/10.1007/978-3-031-45304-5_27
Projects: CDL-RecSys (2022–2028) / HumRec (2021–2025)
The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic / Kolb, T. E., Nalis, I., Sertkan, M., & Neidhardt, J. (2022). The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic. In Kolb Thomas (Ed.), Unofficial Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022. https://doi.org/10.48550/ARXIV.2209.07608
Project: CDL-RecSys (2022–2028)

Supervisions

Context over categories : implementing the theory of constructed emotion / Klüwer, N. (2025). Context over categories : implementing the theory of constructed emotion [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126725
Download: PDF (1.49 MB)