Consistence beats causality in recommender systems.
Xuzhen ZhuHui TianZheng HuPing ZhangTao ZhouPublished in: CoRR (2015)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user preferences
- causal relations
- cold start problem
- personalized recommendation
- user profiles
- user model
- user feedback
- information filtering
- causal models
- trust aware
- causal inference
- user profiling
- causal relationships
- information overload
- user modelling
- recommendation systems
- data sparsity
- causal reasoning
- machine learning
- recommendation quality
- knowledge base