DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation.
Heyuan Huang|Chaochao Chen|Hany Azzam|Xingyu Lou|Pengxiang Cheng|Thomas Roelleke|Chaochao Chen|Hany Azzam|Pengxiang Cheng|Thomas Roelleke|Yue Xin|Chengwei He|Xiang Liu|Jun Wang
| Anthology ID: | DBLP:conf/cikm/HuangL0CXHL024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 910-920 |
| URL: | https://doi.org/10.1145/3627673.3679782 |
| DOI: | https://doi.org/10.1145/3627673.3679782 |
| DBLP: | conf/cikm/HuangL0CXHL024 |
| BibTeX: |
@inproceedings{huang-2024-diit,
author = {Heyuan Huang and
Chaochao Chen and
Hany Azzam and
Xingyu Lou and
Pengxiang Cheng and
Thomas Roelleke and
Chaochao Chen and
Hany Azzam and
Pengxiang Cheng and
Thomas Roelleke and
Yue Xin and
Chengwei He and
Xiang Liu and
Jun Wang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {910--920},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679782},
doi = {https://doi.org/10.1145/3627673.3679782}
}