Dr Graham McDonald
- Senior Lecturer (Computing Science)
My research interests include information retrieval and text classification. In particular, my research focuses on sensitive information retrieval and fair ranking strategies.
Sensitive Information: I research methods for automatically classifying sensitive information that is exempt from public release through freedom of information laws, and how such technologies can assist and learn from human sensitivity reviewers (for example in active learning and technology-assisted review scenarios). I am part of a consortium that is delivering the first large-scale digital sensitivity review system within UK government departments.
Fair Information Retrieval: I was an organiser of the TREC 2021 and 2022 Fair Ranking Track. The track aims to provide a common research framework for researchers interested in developing fair ranking strategies that can provide an appropriate level of exposure to relevant information producers over time.
Further information is available on my personal webpage: here
and my Google Scholar profile here
- Janich, Thomas Benedikt
Fair Machine Learning for Search and Recommendation Systems
- Liang, Zeyan
A De-biasing Approach for Learning-to-Rank Within a Self-supervised Learning Framework
- McKechnie, Jack
Prompt-Based and Contrastive Learning for Sensitivity-Aware Search
- Narvala, Hitarth
A System for Efficient yet Accurate Sensitivity Review: Leveraging Latent Relations in Documents to Maximise the Review Throughput