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} }