M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation.
Zepeng Huai|Yuji Yang|Mengdi Zhang|Zhongyi Zhang|Yichun Li|Wei Wu
| Anthology ID: | DBLP:conf/sigir/HuaiYZZL023 |
|---|---|
| Volume: | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 |
| Year: | 2023 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1468-1477 |
| URL: | https://doi.org/10.1145/3539618.3591720 |
| DOI: | https://doi.org/10.1145/3539618.3591720 |
| DBLP: | conf/sigir/HuaiYZZL023 |
| BibTeX: |
@inproceedings{huai-2023-m2gnn,
author = {Zepeng Huai and
Yuji Yang and
Mengdi Zhang and
Zhongyi Zhang and
Yichun Li and
Wei Wu},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation}},
booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}},
pages = {1468--1477},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3591720},
doi = {https://doi.org/10.1145/3539618.3591720}
}