Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model.

Wentao Ouyang|Xiuwu Zhang|Chaofeng Guo|Shukui Ren|Yupei Sui|Kun Zhang|Jinmei Luo|Yunfeng Chen|Dongbo Xu|Xiangzheng Liu|Yanlong Du


Anthology ID:DBLP:conf/cikm/OuyangZGRSZLCXL23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4773-4779
URL:https://doi.org/10.1145/3583780.3614697
DOI:https://doi.org/10.1145/3583780.3614697
DBLP:conf/cikm/OuyangZGRSZLCXL23
BibTeX:
@inproceedings{ouyang-2023-masked, author = {Wentao Ouyang and Xiuwu Zhang and Chaofeng Guo and Shukui Ren and Yupei Sui and Kun Zhang and Jinmei Luo and Yunfeng Chen and Dongbo Xu and Xiangzheng Liu and Yanlong Du}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {4773--4779}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614697}, doi = {https://doi.org/10.1145/3583780.3614697} }