Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation.
Minchang Kim|Yongjin Yang|Jung Hyun Ryu|Taesup Kim
| Anthology ID: | DBLP:conf/cikm/KimYRK23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1077-1086 |
| URL: | https://doi.org/10.1145/3583780.3614965 |
| DOI: | https://doi.org/10.1145/3583780.3614965 |
| DBLP: | conf/cikm/KimYRK23 |
| BibTeX: |
@inproceedings{kim-2023-metalearning,
author = {Minchang Kim and
Yongjin Yang and
Jung Hyun Ryu and
Taesup Kim},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1077--1086},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614965},
doi = {https://doi.org/10.1145/3583780.3614965}
}