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} }