Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders.
Chunyang Wang|Xuhao Zhao|Wenze Ma|Zhaobo Wang|Yanmin Zhu|Haobing Liu
| Anthology ID: | DBLP:conf/wsdm/0001ZMW0026 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 640-649 |
| URL: | https://doi.org/10.1145/3773966.3777949 |
| DOI: | https://doi.org/10.1145/3773966.3777949 |
| DBLP: | conf/wsdm/0001ZMW0026 |
| BibTeX: |
@inproceedings{wang-2026-adaptive,
author = {Chunyang Wang and
Xuhao Zhao and
Wenze Ma and
Zhaobo Wang and
Yanmin Zhu and
Haobing Liu},
title = {{Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {640--649},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777949},
doi = {https://doi.org/10.1145/3773966.3777949}
}