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} }