CV

An overview of my academic background, research experience, publications, and professional activities.

Education

• Ph.D in Computer Science, Delft University of Technology, 2027 (expected)
• M.S. in Human-Computer-Interaction, Utrecht University, 2023
• B.S. in Human-Computer-Interaction, University of Hamburg, 2021

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Awards

• 2026 — Best Paper Honorable Mention, 34th ACM Conference on User Modeling, Adaptation and Personalization
• 2024 — Runner-up for Best Paper, 18th ACM Conference on Recommender Systems

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Service

• Web Co-Chair for ACM UMAP 2026

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Organization

• Co-Organizer of Interactive Session Won’t somebody please think of the children? Rebuilding Nuance From Provocations for Children in the Digital Ecosystem at ECAF’26

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Program Committees

For a complete and up-to-date overview, see my Service page.

Journals

• Transactions on Recommender Systems (since 2025)

Conferences

• ACM RecSys (since 2025)
• ECIR (since 2025)

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Selected Publications

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. (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.

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. (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.

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

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.

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

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.

The Impact of Mainstream-Driven Algorithms on Recommendations for Children

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.

Mirror, Mirror: Exploring Stereotype Presence Among Top-N Recommendations That May Reach Children

Robin Ungruh, Murtadha Al Nahadi and Maria Soledad Pera. (2025). "Mirror, Mirror: Exploring Stereotype Presence Among Top-N Recommendations That May Reach Children." ACM Transactions on Recommender Systems. https://doi.org/10.1145/3721987.