A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis.

@inproceedings{nascimento-2025-robustness, author = {Ricardo Mar\c{c}al de Andrade Nascimento and Daniel Xavier de Sousa and Guglielmo Faggioli and Paulo Jos\'{e} Lage Alvarenga and Nicola Ferro and Marcos Andr\'{e} Gon\c{c}alves}, editor = {Hamed Zamani and Laura Dietz and Benjamin Piwowarski and Sebastian Bruch}, title = {{A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis}}, booktitle = {{Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025}}, pages = {416--429}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3731120.3744611}, doi = {https://doi.org/10.1145/3731120.3744611} }