Robin Ungruh

Orcid: 0009-0004-4787-8897

According to our database1, Robin Ungruh authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
This Is The World (Recommender Systems Made It For You): Capturing Risk Pathways for Children through a Pluralistic Multi-Risk Assessment of Recommenders.
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

When Preference Is Not Enough: Why Recommender Systems Require Human-Aware Evaluation for Children.
Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2025
MLHD age balanced sample.
Dataset, May, 2025

From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

From Previous Plays to Long-Term Tastes: Exploring the Long-term Reliability of Recommender Systems Simulations for Children.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Are Recommender Systems Serving Children? Toward Child-Aware Design and Evaluation.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

The Impact of Mainstream-Driven Algorithms on Recommendations for Children.
Proceedings of the Advances in Information Retrieval, 2025

Blurred Lines: Understanding the Fit of Song Lyrics in Music Catalogs That Can Reach Children Through Recommendations.
Proceedings of the Advances in Bias, Fairness, and Understudied Users in Information Retrieval, 2025

2024
Ah, that's the great puzzle: On the Quest of a Holistic Understanding of the Harms of Recommender Systems on Children.
CoRR, 2024

Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023
Insights From a Study on Subtle Mimicry in Human-Agent Interaction.
Proceedings of the Virtual Environments 2023, 2023


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