OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction

Tang et al. "OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43427-3_34

[Tang et al. "OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/tang2023ecmlpkdd-optmsm/) doi:10.1007/978-3-031-43427-3_34

@inproceedings{tang2023ecmlpkdd-optmsm,
  title     = {{OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction}},
  author    = {Tang, Xing and Qiao, Yang and Fu, Yuwen and Lyu, Fuyuan and Liu, Dugang and He, Xiuqiang},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2023},
  pages     = {567-584},
  doi       = {10.1007/978-3-031-43427-3_34},
  url       = {https://mlanthology.org/ecmlpkdd/2023/tang2023ecmlpkdd-optmsm/}
}