Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization.
Qijiong Liu|Jiaren Xiao|Lu Fan|Jieming Zhu|Xiao-Ming Wu
| Anthology ID: | DBLP:conf/www/LiuXFZ024 |
|---|---|
| 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: | 3521-3532 |
| URL: | https://doi.org/10.1145/3589334.3645484 |
| DOI: | https://doi.org/10.1145/3589334.3645484 |
| DBLP: | conf/www/LiuXFZ024 |
| BibTeX: |
@inproceedings{liu-2024-learning,
author = {Qijiong Liu and
Jiaren Xiao and
Lu Fan and
Jieming Zhu and
Xiao-Ming Wu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3521--3532},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645484},
doi = {https://doi.org/10.1145/3589334.3645484}
}