Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing.

Haiping Ma|Weiyuan Zhou|Xiaoshan Yu|Changqian Wang|Shangshang Yang|Limiao Zhang|Xingyi Zhang


Anthology ID:DBLP:conf/sigir/MaZ0WYZ025
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1044-1054
URL:https://doi.org/10.1145/3726302.3730072
DOI:https://doi.org/10.1145/3726302.3730072
DBLP:conf/sigir/MaZ0WYZ025
BibTeX:
@inproceedings{ma-2025-reconciling, author = {Haiping Ma and Weiyuan Zhou and Xiaoshan Yu and Changqian Wang and Shangshang Yang and Limiao Zhang and Xingyi Zhang}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {1044--1054}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730072}, doi = {https://doi.org/10.1145/3726302.3730072} }