1.运用场景
CTR模型/多任务学习。
2.创新点
propose a novel multi-task learning approach,multi-gate Mixture-of-Experts,which explicitly learns to model task relationships from data.
adapt the Mixture-of-Experts structure to multi-task learning by sharing the expert submodels across all task,while also having a gating network trained to optimize each task.
3.算法原理
3.1 网络框架
3.2 MMOE
4.算法理解
多任务学习，通用网络。