Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm.
Jiatong Li|Qi Liu|Fei Wang|Jiayu Liu|Zhenya Huang|Fangzhou Yao|Linbo Zhu|Yu Su
| Anthology ID: | DBLP:conf/www/LiLWLHYZS24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3420-3431 |
| URL: | https://doi.org/10.1145/3589334.3645437 |
| DOI: | https://doi.org/10.1145/3589334.3645437 |
| DBLP: | conf/www/LiLWLHYZS24 |
| BibTeX: |
@inproceedings{li-2024-towards,
author = {Jiatong Li and
Qi Liu and
Fei Wang and
Jiayu Liu and
Zhenya Huang and
Fangzhou Yao and
Linbo Zhu and
Yu Su},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3420--3431},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645437},
doi = {https://doi.org/10.1145/3589334.3645437}
}