PhD Student · Information Retrieval
David Vos
I am a PhD student at the Information Retrieval Lab Amsterdam, under the supervision of Maarten de Rijke and Harrie Oosterhuis. I study representation learning, generative modeling, and ranking for personalized recommendations and search. I collaborate with the Responsible Media Lab to apply my research at DPG Media.
I am actively seeking research internships in information retrieval. Open to research collaborations.
Selected Research
Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning
Shows that prefix-tuning LLMs can automate data wrangling tasks while requiring only 0.9% of the parameters of full fine-tuning.
Recognised as best paper runner-up.
Revisiting Language Models in Neural News Recommender Systems
Evaluates how different language models perform as the backbone of neural news recommenders, finding that smaller models can outperform larger ones when properly adapted.
Reliable and Controllable Learned Sparse News Recommendations for Short-History Users
Introduces a learned sparse retrieval (LSR) model that learns sparse representations for users and news, improving retrieval efficiency and short-history recommendation quality.
A Study of Normative Diversity Metrics in News Recommendations
Analyzes normative diversity metrics for news recommendations, quantifying their dependence on attribute representation pipelines and editorial context. We also quantify trade-offs between normative diversity and recommendation accuracy.
Education
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PhD in Information Retrieval
University of Amsterdam
2023 - present · IRLab · with DPG Media
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Master in Artificial Intelligence
University of Amsterdam
2019 - 2022 · cum laude
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Minor in Computer Science
University of Edinburgh
2018 · Erasmus exchange
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Bachelor in Artificial Intelligence
University of Amsterdam
2016 - 2019 · cum laude · honours programme