AdaptKT: A Domain Adaptable Method for Knowledge Tracing.
Song Cheng|Qi Liu|Enhong Chen|Kai Zhang|Zhenya Huang|Yu Yin|Xiaoqing Huang|Yu Su
| Anthology ID: | DBLP:conf/wsdm/ChengLCZHYHS22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 123-131 |
| URL: | https://doi.org/10.1145/3488560.3498379 |
| DOI: | https://doi.org/10.1145/3488560.3498379 |
| DBLP: | conf/wsdm/ChengLCZHYHS22 |
| BibTeX: |
@inproceedings{cheng-2022-adaptkt,
author = {Song Cheng and
Qi Liu and
Enhong Chen and
Kai Zhang and
Zhenya Huang and
Yu Yin and
Xiaoqing Huang and
Yu Su},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{AdaptKT: A Domain Adaptable Method for Knowledge Tracing}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {123--131},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498379},
doi = {https://doi.org/10.1145/3488560.3498379}
}