Estimating the Causal Impact of Recommendation Systems from Observational Data.
Amit SharmaJake M. HofmanDuncan J. WattsPublished in: EC (2015)
Keyphrases
- recommendation systems
- observational data
- causal bayesian networks
- causal structure
- experimental data
- causal discovery
- causal relationships
- causal inference
- directed acyclic graph
- causal models
- causal effects
- collaborative filtering
- user preferences
- latent variables
- recommender systems
- bayesian networks
- sample size
- collaborative filtering recommendation algorithm
- recommendation algorithms
- user feedback
- web search
- causal relations
- causal graph
- prior knowledge
- recommendation quality
- active learning
- search engine
- data mining