Author: recsys-admin

  • Context over Categories – Implementing the Theory of Constructed Emotion

    Author: Nils Klüwer Supervisor: Julia Neidhardt, Co-Supervisor: Irina Nalis-Neuner Abstract Emotion analysis is a critical research area with applications ranging from content moderation to personalized systems. Despite its importance, many approaches rely on traditional models, such as Ekman’s universal emotions theory, which reduces emotions to static, predefined categories. This oversimplification neglects the complexity and contextual…

  • Evaluating the Fairness of News Recommender Algorithms Within Detected User Communities

    Author: Bernhard Steindl Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Awards: Bernhard Steindl won the ASAI Masterthesis Prize 2025 (Informatics Website) Abstract This work addresses the problem of unfair treatment of different user groups in the recommendations they receive from recommendation algorithms. Recommender systems (RS) are algorithms that suggest items to a user that are…

  • Exploration of Content-Based Cross-Domain Podcast Recommender Systems

    Author: Matthias Hofmaier Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Abstract Podcasts have become a popular medium in the last decade. The huge amount of data available motivates research on podcast recommender systems to make this data accessible to users. Since interaction-based datasets for podcasts are only available to the large streaming providers, content-based methods…

  • Presentation @ UMAP ’24

    I’m (Thomas Kolb) happy to share that I presented two of our research papers from the Christian Doppler Lab for Recommender Systems at the workshops of ACM UMAP 2024! 🎉 Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics (Blake Huebner, Thomas Kolb, Julia Neidhardt)Link: https://dl.acm.org/doi/10.1145/3631700.3664897 Classifying User Roles in Online…

  • Measuring Controversy in Online Discussions

    Author: Ivan Andreev Supervisor: Stefan Woltran, Co-Supervisor: Julia Neidhardt Abstract In today’s digital era, analyzing and improving online discourse is crucial. Polarisation is indeed a significant issue in contemporary society, particularly amplified within online discussions. The ability to accurately measure polarisation in these contexts is crucial for understanding societal dynamics and addressing associated challenges effectively.…

  • Hands-on Session AI @ AK-Tag

    It was a pleasure for me to conduct a hands-on session on the possibilities, limitations, and challenges of AI at the AK-Tag 2024 [1] of the Federal Bureau of Anti-Corruption (BAK)! This showcase was created in collaboration with my colleague Ahmadou Wagne as part of our research in the Christian Doppler Laboratory for Recommender Systems.…