Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.
Cheng Wu|Shaoyun Shi|Chaokun Wang|Ziyang Liu|Wang Peng|Wenjin Wu|Dongying Kong|Han Li|Kun Gai
| Anthology ID: | DBLP:conf/www/WuSWLPWKLG24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3756-3766 |
| URL: | https://doi.org/10.1145/3589334.3645577 |
| DOI: | https://doi.org/10.1145/3589334.3645577 |
| DBLP: | conf/www/WuSWLPWKLG24 |
| BibTeX: |
@inproceedings{wu-2024-enhancing,
author = {Cheng Wu and
Shaoyun Shi and
Chaokun Wang and
Ziyang Liu and
Wang Peng and
Wenjin Wu and
Dongying Kong and
Han Li and
Kun Gai},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3756--3766},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645577},
doi = {https://doi.org/10.1145/3589334.3645577}
}