Students

I (co-)supervised the following students and trainees. Many of them were interns, with some we published a paper. If you are interested in internships, feel free to reach out! For the courses and tutorials I taught, see Teaching.

Daan Wijnhorst (2026)

Degree: Rijks I-Trainee
Host organisation: Rijksoverheid
Topic: RegelRecht
Co-supervisor: Wouter Welling

Floortje Bos (2026)

Degree: MSc AI at the Vrije Universiteit Amsterdam
Host organisation: Ministry of the Interior and Kingdom Relations
Topic: From Rule Execution to Citizen Explanation - Evaluating LLM-Generated Explanations in Rule-Based Government Systems
Co-supervisor: Jieying Chen

Renate Burema (2024-2025)

Degree: Intern
Host organisation: Ministry of the Interior and Kingdom Relations
Topic: LLMs Benchmarks for The Netherlands
Co-supervisor: Christopher Spelt

Publications:

• Renate Burema and Anne Schuth and Christopher Spelt and Dong Nguyen. A Dutch Benchmark to Assess Social Bias in LLMs within a Hiring Decision Setting. In Proceedings of the Language Resources and Evaluation Conference (LREC 2026), 2026.

Guusje Juijn (2024)

Degree: Rijks I-Trainee
Host organisation: Ministry of the Interior and Kingdom Relations
Co-supervisor: Christopher Spelt

Thilina Rajapakse (2023)

Degree: PhD Student at the University of Amsterdam
Host organisation: Spotify
Topic: LLMs for Search
Co-supervisor: Claudia Hauff

Samarth Bhargav (2022-2023)

Degree: PhD Student at the University of Amsterdam
Host organisation: Spotify
Topic: Tip-of-the-Tongue Retrieval for Music
Co-supervisor: Claudia Hauff

Publications:

• Samarth Bhargav and Anne Schuth and Claudia Hauff. When the Music Stops: Tip-of-the-Tongue Retrieval for Music. In Proceedings of SIGIR’23, 2023.

Astrid Weijs (2021)

Degree: MSc AI at the Vrije Universiteit Amsterdam
Host organisation: DPG Media
Topic: Breaking the Filter Bubble

Tom Sweers (2019-2020)

Degree: MSc CS at the Radboud University Nijmegen
Host organisation: DPG Media
Topic: Timing Push
Co-supervisor: Lucas de Haas

Henning Bartsch (2019-2020)

Degree: MSc AI at the University of Amsterdam
Host organisation: DPG Media
Topic: Neural Recommendation
Co-supervisors: Lucas de Haas, Joris Baan, Maartje ter Hoeve

Pieter Zalis (2019)

Degree: MSc Data Science at the University of Amsterdam
Host organisation: DPG Media
Topic: News Personalisation
Co-supervisors: Lucas de Haas, Christof Monz

David Vos (2019)

Degree: BSc AI at the University of Amsterdam
Host organisation: DPG Media
Topic: Personalized Weekly Newsletters
Co-supervisors: Lucas de Haas, Harrie Oosterhuis

Chia-Lun Yeh (2018-2019)

Degree: MSc AI at the Delft University of Technology
Host organisation: DPG Media
Topic: Bias Detection
Co-supervisors: Babak Loni, Nava Tintarev

Publications:

• Chia-Lun Yeh and Babak Loni and Anne Schuth. Hyperpartisan News Detection with GloVe vectors and SVM. In Proceedings of SEMEVAL’19, 2019.
• Chia-Lun Yeh and Babak Loni and Mariëlle Hendriks and Henrike Reinhardt and Anne Schuth. DpgMedia2019: A Dutch News Dataset for Partisanship Detection. 2019.

Joris Baan (2018-2019)

Degree: MSc AI at the University of Amsterdam
Host organisation: DPG Media
Topic: Explaining Summarization
Co-supervisors: Marlies van der Wees, Maartje ter Hoeve, Maarten de Rijke

Publications:

• Joris Baan and Maartje ter Hoeve and Marlies van der Wees and Anne Schuth and Maarten de Rijke. Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?. In Proceedings of FACTS-IR’19, 2019.
• Joris Baan and Maartje ter Hoeve and Marlies van der Wees and Anne Schuth and Maarten de Rijke. Understanding Multi-Head Attention in Abstractive Summarization. 2019.

Maartje ter Hoeve (2017-2018)

Degree: MSc AI at the University of Amsterdam
Host organisation: Blendle
Topic: Explaining Rankings

Publications:

• Maartje ter Hoeve and Mathieu Heruer and Daan Odijk and Anne Schuth and Martijn Spitters and Ron Mulder and Nick van der Wildt and Maarten de Rijke. Do News Consumers Want Explanations for Personalized News Rankings?. In Proceedings of FATREC’17, 2017.
• Maartje ter Hoeve and Anne Schuth and Daan Odijk and Maarten de Rijke. Faithfully Explaining Rankings in a News Recommender System. 2018.

Claudia Minardi (2015-2016)

Degree: MSc AI at the Vrije Universiteit Amsterdam
Topic: Master thesis

Jeffrey Kuiken (2015-2016)

Degree: BSc IK at the University of Amsterdam
Host organisation: Blendle
Topic: Effective Headlines of Newspaper Articles in a Digital Environment

Publications:

• Jeffrey Kuiken and Anne Schuth and Martijn Spitters and Maarten Marx. Effective Headlines of Newspaper Articles in a Digital Environment. In Digital Journalism, 2017.

Harrie Oosterhuis (2014-2016)

Degree: MSc AI at the University of Amsterdam, University of Amsterdam
Topic: Online learning to rank (Honours program)

Publications:

• Anne Schuth and Harrie Oosterhuis and Shimon Whiteson and Maarten de Rijke. Multileave Gradient Descent for Fast Online Learning to Rank. In Proceedings of WSDM’16, 2016.
• Harrie Oosterhuis and Anne Schuth and Maarten de Rijke. Probabilistic Multileave Gradient Descent. In Proceedings of ECIR’16, 2016.

Spyros Michaelides (2014-2015)

Degree: MSc AI at the University of Amsterdam
Topic: Comparing Living Labs with Lerot

George-Viorel Visniuc (2013-2014)

Degree: MSc AI at the University of Amsterdam
Topic: Understanding User Behavior through Search Log Analysis

Hanne Nijhuis (2012-2013)

Degree: MSc AI at the University of Amsterdam
Topic: Active Online Learning to Rank for IR

Bart de Goede (2011-2012)

Degree: MSc IK at the University of Amsterdam
Topic: Sustainable Questions

Publications:

• Bart de Goede and Anne Schuth and Maarten de Rijke. Sustainable Questions. In Proceedings of SIGIR 2012 Workshop on Time-aware Information Access, 2012.