Recommender system based on pairwise association rules.
Timur OsadchiyIvan PoliakovPatrick OlivierMaisie RowlandEmma FosterPublished in: Expert Syst. Appl. (2019)
Keyphrases
- pairwise
- association rules
- recommender systems
- collaborative recommendation
- association rule mining
- data mining
- collaborative filtering
- association mining
- knowledge discovery
- mining algorithm
- higher order
- user preferences
- multi class
- mining association rules
- semi supervised
- markov random field
- data mining techniques
- apriori algorithm
- association rules mining
- user profiles
- itemsets
- frequent patterns
- frequent itemsets
- high order
- cold start problem
- formal concept analysis
- matrix factorization
- pairwise constraints
- mining of association rules
- point sets
- loss function
- similarity measure
- market basket data
- pairwise interactions
- interesting association rules
- classification rules
- associative classifiers
- recommendation quality
- discovering association rules
- movie recommendation
- discovered rules
- belief propagation
- cold start
- associative classification
- implicit feedback
- information overload
- user model
- image segmentation
- decision trees
- social networks
- search engine
- information retrieval