Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling.
Qianqian ZhangXinru LiaoQuan LiuJian XuBo ZhengPublished in: WSDM (2022)
Keyphrases
- meta learning
- learning tasks
- multi task
- multi task learning
- machine learning
- inductive learning
- feature selection
- learning algorithm
- transfer learning
- learning problems
- machine learning algorithms
- supervised learning
- learning experience
- sparse learning
- model selection
- multi class
- real world
- multi label
- kernel methods
- k nearest neighbor
- decision trees
- e learning
- data mining
- data sets