UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.
Boqi Dai|Zhaocheng Du|Jieming Zhu|Jintao Xu|Deqing Zou|Quanyu Dai|Zhenhua Dong|Rui Zhang|Hai-Tao Zheng
| Anthology ID: | DBLP:conf/cikm/DaiDZXZDD0024 |
|---|---|
| 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: | 4446-4453 |
| URL: | https://doi.org/10.1145/3627673.3680098 |
| DOI: | https://doi.org/10.1145/3627673.3680098 |
| DBLP: | conf/cikm/DaiDZXZDD0024 |
| BibTeX: |
@inproceedings{dai-2024-uniembedding,
author = {Boqi Dai and
Zhaocheng Du and
Jieming Zhu and
Jintao Xu and
Deqing Zou and
Quanyu Dai and
Zhenhua Dong and
Rui Zhang and
Hai-Tao Zheng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4446--4453},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680098},
doi = {https://doi.org/10.1145/3627673.3680098}
}