Speeding Up Recommender Systems Using Association Rules.
Eyad KannoutHung Son NguyenMarek GrzegorowskiPublished in: ACIIDS (2) (2022)
Keyphrases
- recommender systems
- association rules
- association rule mining
- compound critiques
- collaborative filtering
- data mining
- knowledge discovery
- association mining
- mining association rules
- collaborative recommendation
- data mining techniques
- itemsets
- matrix factorization
- frequent itemsets
- mining algorithm
- information overload
- formal concept analysis
- user modeling
- association rules mining
- recommendation systems
- apriori algorithm
- classification rules
- recommendation quality
- trust aware
- market basket data
- discovering association rules
- product recommendation
- recommendation algorithms
- cold start problem
- data sparsity
- frequent patterns
- user preferences
- user profiles
- associative classification
- information filtering
- market basket analysis
- user profiling
- cold start
- personalized recommendation
- discovered rules
- user model
- databases