RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.
Yanyan Shen|Lifan Zhao|Weiyu Cheng|Zibin Zhang|Wenwen Zhou|Kangyi Lin
| Anthology ID: | DBLP:journals/tois/ShenZCZZL23 |
|---|---|
| Year: | 2023 |
| Venue: | ACM Transactions on Information Systems (TOIS) |
| Pages: | 69:1-69:26 |
| URL: | https://doi.org/10.1145/3564283 |
| DOI: | https://doi.org/10.1145/3564283 |
| DBLP: | journals/tois/ShenZCZZL23 |
| BibTeX: |
@article{shen-2023-resus,
author = {Yanyan Shen and
Lifan Zhao and
Weiyu Cheng and
Zibin Zhang and
Wenwen Zhou and
Kangyi Lin},
title = {{RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction}},
journal = {ACM Transactions on Information Systems (TOIS)},
volume = {41},
number = {3},
pages = {69:1--69:26},
year = {2023},
url = {https://doi.org/10.1145/3564283},
doi = {https://doi.org/10.1145/3564283}
}