Probabilistic Reinforcement Rules for Item-Based Recommender Systems.
Sylvain CastagnosArmelle BrunAnne BoyerPublished in: ECAI (2008)
Keyphrases
- recommender systems
- collaborative filtering
- probabilistic relational
- reinforcement learning
- matrix factorization
- information overload
- rule sets
- cold start problem
- user preferences
- probabilistic model
- trust aware
- item based collaborative filtering
- user interests
- information filtering
- user profiles
- implicit feedback
- probabilistic logic
- collaborative filtering recommender systems
- user modeling
- production rules
- rule extraction
- user ratings
- data sparsity
- boolean expressions
- personal preferences
- uncertain data
- association rule mining
- domain experts
- generative model