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ADM+S Researchers to present at International conference on research and development in information retrieval
Author
Date 11 April 2025
Several researchers from the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) have been accepted to present their work at the ACM SIGIR 2025 Conference on Research and Development in Information Retrieval, the leading international forum in the field.
SIGIR is the premiere international forum for the presentation of new research results and for the demonstration of new systems and techniques in information retrieval. The conference consists of five days of full papers, short papers, resource & reproducibility papers, perspectives papers, system demonstrations, doctoral consortium, tutorials, and workshops focused on research and development in the area of information retrieval. The Conference will be held 13-18 July 2025 in Podova, Italy.
The following ADM+S research will be presented at the conference:
- Classifying Term Variants in Query Formulation (full paper)
Nuha AbuOnq (ADM+S Research Student), co-authored with Prof Falk Scholer (ADM+S Associate Investigator).
- The Effects of Demographic Instructions on LLM Personas (short paper)
Angel Magnossão de Paula (ADM+S Affiliate), co-authored with Prof Shane Culpepper, Prof Alistair Moffat, Sachin Pathiyan Cherumanal (ADM+S Research Student), Prof Falk Scholer (ADM+S Associate Investigator), and Dr Johanne Trippas. - PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation (paper)
Dr Chenglong Ma (ADM+S Research Student)
- Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data (short paper)
Jiaman He (ADM+S Research Student), co-authored with Zikang Leng, Dr Dana McKay, Dr Johanne Trippas, and Dr Damiano Spina (ADM+S Associate Investigator).
Prof Flora Salim (ADM+S Chief Investigator) and Prof Maarten de Rijke (ADM+S Partner Investigator) will also be co-hosting the second edition of the MANILA – SIGIR Workshop, a series focused on leveraging information retrieval to address the impacts of climate change.
