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