Robin Ungruh

Robin Ungruh

he/him

PhD Candidate

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

news

Research visit in Salzburg

Published:

I am currently on a research visit in Salzburg, Austria, working with Christine Bauer on a project about children & recommender systems.

RecSys PPF paper accepted!

Published:

Our paper Some People Are Worth Recommending For: Twenty Years of Progress, Gaps, and Opportunities For and With Children at RecSys has been accepted to RecSys 2026!

portfolio

publications

Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders

Robin Ungruh, Karlijn Dinnissen, Anja Volk, Maria Soledad Pera and Hanna Hauptmann

Published in Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Recommended citation: Robin Ungruh, Karlijn Dinnissen, Anja Volk, Maria Soledad Pera and Hanna Hauptmann. (2024). "Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders." Proceedings of the 18th ACM Conference on Recommender Systems. https://doi.org/10.1145/3640457.3688102.
Download Paper

The Impact of Mainstream-Driven Algorithms on Recommendations for Children

Robin Ungruh, Alejandro Bellogín and Maria Soledad Pera

Published in European Conference on Information Retrieval, 2025

Recommended citation: Robin Ungruh, Alejandro Bellogín and Maria Soledad Pera. (2025). "The Impact of Mainstream-Driven Algorithms on Recommendations for Children." European Conference on Information Retrieval. https://doi.org/10.1007/978-3-031-88714-7_5.
Download Paper

From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations

Robin Ungruh, Alejandro Bellogín and Maria Soledad Pera

Published in Proceedings of the 48th international ACM SIGIR conference on research and development in information retrieval, 2025

Recommended citation: Robin Ungruh, Alejandro Bellogín and Maria Soledad Pera. (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. https://doi.org/10.1145/3726302.3730199.
Download Paper

Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study

Robin Ungruh, Alejandro Bellogín, Dominik Kowald and Maria Soledad Pera

Published in Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Recommended citation: Robin Ungruh, Alejandro Bellogín, Dominik Kowald and Maria Soledad Pera. (2025). "Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study." Proceedings of the Nineteenth ACM Conference on Recommender Systems. https://doi.org/10.1145/3705328.3748160.
Download Paper

From Previous Plays to Long-Term Tastes: Exploring the Long-term Reliability of Recommender Systems Simulations for Children

Robin Ungruh, Alejandro Bellogín and Maria Soledad Pera

Published in Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Recommended citation: Robin Ungruh, Alejandro Bellogín and Maria Soledad Pera. (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. https://doi.org/10.1145/3705328.3759301.
Download Paper

When Preference Is Not Enough: Why Recommender Systems Require Human-Aware Evaluation for Children

Robin Ungruh, Alejandro Bellogín, Dominik Kowald and Maria Soledad Pera

Published in Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '26), 2026

Recommended citation: Robin Ungruh, Alejandro Bellogín, Dominik Kowald and Maria Soledad Pera. (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 (UMAP '26). https://doi.org/10.1145/3774935.3812719.
Download Paper

This Is The World (Recommender Systems Made It For You): Capturing Risk Pathways for Children through a Pluralistic Multi-Risk Assessment of Recommenders

Robin Ungruh and Maria Soledad Pera

Published in Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '26), 2026

Recommended citation: Robin Ungruh and Maria Soledad Pera. (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 (UMAP '26). https://doi.org/10.1145/3774935.3806148.
Download Paper

Some People Are Worth Recommending For: Twenty Years of Progress, Gaps, and Opportunities For and With Children at RecSys

Robin Ungruh and Maria Soledad Pera

Published in Proceedings of the Twentieth ACM Conference on Recommender Systems, 2026

Recommended citation: Robin Ungruh and Maria Soledad Pera. (2026). "Some People Are Worth Recommending For: Twenty Years of Progress, Gaps, and Opportunities For and With Children at RecSys." Proceedings of the Twentieth ACM Conference on Recommender Systems. https://doi.org/10.1145/3773078.3831735.
Download Paper

talks

Deezer Data and Research Seminar

Published:

Presented an extended version of our RecSys 2024 paper “Putting popularity bias mitigation to the test: A user-centric evaluation in music recommenders”.

teaching

Joey de Water

Master's Thesis, Delft University of Technology, 2025

Title: Keep It PG or Let It Go? Exploring the Presence of (In)appropriateness in YouTube Videos for Young Children and Opportunities for Safeguarding

Andreea Mocanu

Master's Thesis, Delft University of Technology, 2026

Title: Every Book Tells a Value: Emerging Values and Alignment in Children’s Book Recommendations