Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta.

Wei Zhang|Dai Li|Chen Liang|Fang Zhou|Zhongke Zhang|Xuewei Wang|Ru Li|Yi Zhou|Yaning Huang|Dong Liang|Kai Wang|Zhangyuan Wang|Zhengxing Chen|Fenggang Wu|Minghai Chen|Huayu Li|Yunnan Wu|Zhan Shu|Mindi Yuan|Sri Reddy


Anthology ID:DBLP:conf/www/ZhangLLZZWLZHLW24
Volume:Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:47-55
URL:https://doi.org/10.1145/3589335.3648301
DOI:https://doi.org/10.1145/3589335.3648301
DBLP:conf/www/ZhangLLZZWLZHLW24
BibTeX:
@inproceedings{zhang-2024-scaling, author = {Wei Zhang and Dai Li and Chen Liang and Fang Zhou and Zhongke Zhang and Xuewei Wang and Ru Li and Yi Zhou and Yaning Huang and Dong Liang and Kai Wang and Zhangyuan Wang and Zhengxing Chen and Fenggang Wu and Minghai Chen and Huayu Li and Yunnan Wu and Zhan Shu and Mindi Yuan and Sri Reddy}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Roy Ka-Wei Lee and Ravi Kumar and Hady Wirawan Lauw}, title = {{Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}}, pages = {47--55}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589335.3648301}, doi = {https://doi.org/10.1145/3589335.3648301} }