Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling.

@inproceedings{zhang-2022-leaving, author = {Qianqian Zhang and Xinru Liao and Quan Liu and Jian Xu and Bo Zheng}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {1368--1376}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498479}, doi = {https://doi.org/10.1145/3488560.3498479} }