GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation.
Guojiao Lin|Zhen Meng|Dongjie Wang|Qingqing Long|Yuanchun Zhou|Meng Xiao
| Anthology ID: | DBLP:conf/cikm/LinMWLZ024 |
|---|---|
| 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: | 1400-1409 |
| URL: | https://doi.org/10.1145/3627673.3679620 |
| DOI: | https://doi.org/10.1145/3627673.3679620 |
| DBLP: | conf/cikm/LinMWLZ024 |
| BibTeX: |
@inproceedings{lin-2024-gume,
author = {Guojiao Lin and
Zhen Meng and
Dongjie Wang and
Qingqing Long and
Yuanchun Zhou and
Meng Xiao},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1400--1409},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679620},
doi = {https://doi.org/10.1145/3627673.3679620}
}