BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling.
Weibo Gao|Qi Liu|Linan Yue|Fangzhou Yao|Zhenya Huang|Zheng Zhang|Rui Lv
| Anthology ID: | DBLP:conf/www/Gao0YYHZL25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3660-3671 |
| URL: | https://doi.org/10.1145/3696410.3714645 |
| DOI: | https://doi.org/10.1145/3696410.3714645 |
| DBLP: | conf/www/Gao0YYHZL25 |
| BibTeX: |
@inproceedings{gao-2025-boxcd,
author = {Weibo Gao and
Qi Liu and
Linan Yue and
Fangzhou Yao and
Zhenya Huang and
Zheng Zhang and
Rui Lv},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {3660--3671},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714645},
doi = {https://doi.org/10.1145/3696410.3714645}
}