Probabilistic Association Rules for Item-Based Recommender Systems.
Sylvain CastagnosArmelle BrunAnne BoyerPublished in: STAIRS (2008)
Keyphrases
- recommender systems
- association rules
- collaborative filtering
- association rule mining
- matrix factorization
- data mining
- item based collaborative filtering
- knowledge discovery
- association rules mining
- cold start problem
- probabilistic model
- user preferences
- information filtering
- user interests
- user profiling
- collaborative recommendation
- rule sets
- apriori algorithm
- collaborative recommender systems
- frequent patterns
- user profiles
- collaborative filtering recommender systems
- mining of association rules
- bayesian networks
- interesting rules
- compound critiques
- data sparsity
- association mining
- personalized recommendation
- mining association rules
- formal concept analysis
- uncertain data
- classification rules
- generative model
- data mining techniques
- probabilistic logic
- recommendation algorithms
- information overload
- recommendation systems
- mining algorithm
- trust aware
- user model