HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction

1 code implementation • 10 Mar 2023 • Jie zhou, Xianshuai Cao, Wenhao Li, Lin Bo, Kun Zhang, Chuan Luo, Qian Yu

Multi-scenario & multi-task learning has been widely applied to many recommendation systems in industrial applications, wherein an effective and practical approach is to carry out multi-scenario transfer learning on the basis of the Mixture-of-Expert (MoE) architecture.

Multi-Task Learning Recommendation Systems