A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.
Zihua SiXueran HanXiao ZhangJun XuYue YinYang SongJi-Rong WenPublished in: WWW (2022)
Keyphrases
- prior knowledge
- probabilistic model
- learning models
- domain specific information
- computational model
- learning mechanism
- learning scheme
- data sets
- causal structure
- sensory data
- learned models
- data analysis
- input data
- data collection
- probability distribution
- experimental data
- database
- missing data
- theoretical framework
- hidden variables
- latent factor models
- learning process
- data points
- learning algorithm
- accurate models
- machine learning
- learning frameworks
- data sources
- learning tasks
- statistical methods
- conceptual model
- network structure
- test data
- search space
- qualitative models
- multi task
- supervised learning