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}
}