Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation.
Zheng Ju|Qinqin Wang|Diarmuid O'Reilly-Morgan|Elias Z. Tragos|Neil Hurley|Ruihai Dong|Aonghus Lawlor
| Anthology ID: | DBLP:conf/wsdm/JuWOTHDL26 |
|---|---|
| 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: | 1170-1174 |
| URL: | https://doi.org/10.1145/3773966.3779398 |
| DOI: | https://doi.org/10.1145/3773966.3779398 |
| DBLP: | conf/wsdm/JuWOTHDL26 |
| BibTeX: |
@inproceedings{ju-2026-transfer,
author = {Zheng Ju and
Qinqin Wang and
Diarmuid O'Reilly-Morgan and
Elias Z. Tragos and
Neil Hurley and
Ruihai Dong and
Aonghus Lawlor},
title = {{Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1170--1174},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3779398},
doi = {https://doi.org/10.1145/3773966.3779398}
}