MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation.
Yi Xu|Moyu Zhang|Chenxuan Li|Zhihao Liao|Haibo Xing|Hao Deng|Jinxin Hu|Yu Zhang|Xiaoyi Zeng|Jing Zhang
| Anthology ID: | DBLP:conf/wsdm/XuZL0X0H0Z026 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 788-797 |
| URL: | https://doi.org/10.1145/3773966.3777923 |
| DOI: | https://doi.org/10.1145/3773966.3777923 |
| DBLP: | conf/wsdm/XuZL0X0H0Z026 |
| BibTeX: |
@inproceedings{xu-2026-mmq,
author = {Yi Xu and
Moyu Zhang and
Chenxuan Li and
Zhihao Liao and
Haibo Xing and
Hao Deng and
Jinxin Hu and
Yu Zhang and
Xiaoyi Zeng and
Jing Zhang},
title = {{MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {788--797},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777923},
doi = {https://doi.org/10.1145/3773966.3777923}
}