Be Causal: De-Biasing Social Network Confounding in Recommendation.
Qian LiXiangmeng WangZhichao WangGuandong XuPublished in: ACM Trans. Knowl. Discov. Data (2023)
Keyphrases
- social networks
- personal interests
- social network analysis
- heterogeneous social networks
- online dating
- social network services
- recommender systems
- social networking websites
- collaborative filtering
- online social networks
- social graph
- social networking
- social media
- bayesian networks
- social relationships
- link prediction
- user preferences
- causal relationships
- recommendation systems
- social connections
- location based social networks
- social networking services
- causal inference
- causal networks
- social network analysis and mining
- social interaction
- network structure
- causal models
- information diffusion
- personalized recommendation
- social relations
- information flow
- social influence
- causal independence
- social context
- viral marketing
- causal relations
- causal theories
- online communities
- causal graph
- causal discovery
- search engine