Teaching
Students and Trainees
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!
Renate Burema (2024 - 2025)
Program: Intern
Host company: Ministry of the Interior and Kingdom Relations
Topic: LLMs Benchmarks for The Netherlands
Co-supervisor: Christopher Spelt
Guusje Juijn (2024)
Program: Rijks I-Trainee
Host company: Ministry of the Interior and Kingdom Relations
Co-supervisor: Christopher Spelt
Thilina Rajapakse (2023)
Degree: PhD Student at the University of Amsterdam
Host company: Spotify
Topic: LLMs for Search
Co-supervisor: Claudia Hauff
Samarth Bhargav (2022 - 2023)
Degree: PhD Student at the University of Amsterdam
Host company: 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 company: DPG Media
Topic: Breaking the Filter Bubble
Henning Bartsch (2019 – 2020)
Degree: MSc AI at the University of Amsterdam
Host company: DPG Media
Topic: Neural Recommendation
Co-supervisors: Lucas de Haas, Joris Baan, Maartje ter Hoeve
Tom Sweers (2019 – 2020)
Degree: MSc CS at the Radboud University Nijmegen
Host company: DPG Media
Topic: Timing Push
Co-supervisor: Lucas de Haas
David Vos (2019)
Degree: BSc AI at the University of Amsterdam
Host company: DPG Media
Topic: Personalized Weekly Newsletters
Co-supervisors: Lucas de Haas, Harrie Oosterhuis
Joris Baan (2018 – 2019)
Degree: MSc AI at the University of Amsterdam
Host company: 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.
Chia-Lun Yeh (2018 – 2019)
Degree: MSc AI at the Delft University of Technology
Host company: DPG Media
Topic: Bias Detection
Co-supervisors: Babak Loni, Nava Tintarev
Publications:
- Chia-Lun Yeh and Babak Loni and Mariëlle Hendriks and Henrike Reinhardt and Anne Schuth. DpgMedia2019: A Dutch News Dataset for Partisanship Detection. 2019.
- Chia-Lun Yeh and Babak Loni and Anne Schuth. Hyperpartisan News Detection with GloVe vectors and SVM. In Proceedings of SEMEVAL’19, 2019.
Maartje ter Hoeve (2017 – 2018)
Degree: MSc AI at the University of Amsterdam
Host company: 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.
Jeffrey Kuiken (2015 – 2016)
Degree: BSc IK at the University of Amsterdam
Host company: 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.
Claudia Minardi (2015 – 2016)
Degree: MSc AI at the Vrije Universiteit Amsterdam
Topic: Master thesis
Harrie Oosterhuis (2014 – 2016)
Degree: MSc AI at the University of Amsterdam
Topic: Online learning to rank (Honours program)
Publications:
- Harrie Oosterhuis and Anne Schuth and Maarten de Rijke. Probabilistic Multileave Gradient Descent. In Proceedings of ECIR’16, 2016.
- 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.
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.
Courses and Tutorials
LiLa 2016: ECIR 2016 Tutorial
Year: 2016
Information Retrieval 2 (Curriculum Master Artificial Intelligence)
Years: 2014-2015
- Project on “Online Learning to Rank”
Publications:
- Anne Schuth and Robert-Jan Bruintjes and Fritjof Büttner and Joost van Doorn and Carla Groenland and Harrie Oosterhuis and Cong-Nguyen Tran and Bas Veeling and Jos van der Velde and Roger Wechsler and David Woudenberg and Maarten de Rijke. Probabilistic Multileave for Online Retrieval Evaluation. In Proceedings of SIGIR’15, 2015.
Information Retrieval 1 (Curriculum Master Artificial Intelligence)
Years: 2014-2015
- Lecture on “Online Evaluation” (slides)
- Lecture on “Online Learning”
- Projects on “Multileaved Comparison Methods”
Information Retrieval (Curriculum Master Artificial Intelligence)
Year: 2013-2014
- Lecture 7 on “Online Learning to Rank” (slides)
WIP Profile Projects
Year: 2012-2013
Advanced Information Retrieval
Year: 2011-2012
Language Models
Year: 2009-2010