Portrait of David Vos

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

Efficient Optimization of Hierarchical Identifiers for Generative Recommendation

Federica Valeau, Odysseas Boufalis, Polytimi Gkotsi, Joshua Rosenthal, David Vos · ECIR 2026

We show that generative models with hierarchical identifiers lead to superior recommendation performance when compared to strong baselines, but are bottlenecked in training time by the tree construction. We propose a greedy clustering algorithm that reduces the tree construction time drastically, without sacrificing performance.

A Study of Normative Diversity Metrics in News Recommendations

David Vos, Jin Huang, Maarten de Rijke · Under review

We analyze 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

  • PhD in Information Retrieval

    University of Amsterdam

    2023 - present · IRLab · with DPG Media

  • Master in Artificial Intelligence

    University of Amsterdam

    2019 - 2022 · cum laude

  • Minor in Computer Science

    University of Edinburgh

    2018 · Erasmus exchange

  • Bachelor in Artificial Intelligence

    University of Amsterdam

    2016 - 2019 · cum laude · honours programme

Recent Talks

  • 2023–2025 · Lectures on text representation learning, sequential recommender systems and transformers at the University of Amsterdam.
  • 2024 · Search Futures Workshop (ECIR) · The Role of LLMs in Democratic News RecSys.
  • 2023 · Dutch Seminar on Data Systems Design (DSDSD) · Towards parameter-efficient automation of data wrangling tasks with prefix-tuning.
  • 2023 · Talk for the ING Data Science team on LLMs for data management.
  • 2022 · NeurIPS TRL Workshop · Prefix-tuning for data wrangling.