معرفی
Maria Maistro is a Tenure Track Assistant Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. Her research focuses on Information Retrieval (IR) with emphasis on evaluation, reproducibility, click log analysis, learning to rank, expert search, and machine learning applications to IR. She contributes to the AMAOS project aiming to advance expert search methodologies.
- PhD in Computer Science (IR) from University of Padua (2017)
- MSc in Mathematics (probability, stochastic methods) from University of Padua (2014)
Maria's research addresses critical challenges in IR evaluation through stochastic modeling and user signal analysis. She investigates fairness-relevance tradeoffs in recommender systems, cross-cultural retrieval frameworks, and explainability techniques for language models and recommendation algorithms. Her work combines theoretical foundations with practical applications in healthcare records, insurance domains, and culinary contexts.
Recent publications (2024–2025) demonstrate her expertise in:
- Retrieval-Augmented Generation (RAG) for cross-cultural adaptation
- Fairness evaluation in recommender systems
- EEG-based semantic relevance analysis
- Session-based recommendation explainability
- Language model pruning consistency
- Reproducibility frameworks for IR experiments
Maria actively participates in academic activities through conference organization roles, including:
- Organizer, CENTRE@CLEF 2019
- Organizer, CENTRE@NTCIR 2019
- Organizer, CENTRE@CLEF 2018
- Organizer, LEARNER 2017
