Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion.
Yichen Li|Yijing Shan|Yi Liu|Haozhao Wang|Wei Wang|Yi Wang|Ruixuan Li
| Anthology ID: | DBLP:conf/www/0006SLWWW025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2700-2709 |
| URL: | https://doi.org/10.1145/3696410.3714635 |
| DOI: | https://doi.org/10.1145/3696410.3714635 |
| DBLP: | conf/www/0006SLWWW025 |
| BibTeX: |
@inproceedings{li-2025-personalized,
author = {Yichen Li and
Yijing Shan and
Yi Liu and
Haozhao Wang and
Wei Wang and
Yi Wang and
Ruixuan Li},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2700--2709},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714635},
doi = {https://doi.org/10.1145/3696410.3714635}
}