RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction.

Ziye Tong|Jiahao Liu|Weimin Zhang|Hongji Ruan|Derick Tang|Zhanpeng Zeng|Qinsong Zeng|Peng Zhang|Tun Lu|Ning Gu


Anthology ID:DBLP:conf/sigir/TongLZRTZZZLG26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:4187-4192
URL:https://doi.org/10.1145/3805712.3809968
DOI:https://doi.org/10.1145/3805712.3809968
DBLP:conf/sigir/TongLZRTZZZLG26
BibTeX:
@inproceedings{tong-2026-rqgmm, author = {Ziye Tong and Jiahao Liu and Weimin Zhang and Hongji Ruan and Derick Tang and Zhanpeng Zeng and Qinsong Zeng and Peng Zhang and Tun Lu and Ning Gu}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4187--4192}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809968}, doi = {https://doi.org/10.1145/3805712.3809968} }