Applying Cross-Level Association Rule Mining to Cold-Start Recommendations.
Cane Wing-ki LeungStephen Chi-fai ChanKorris Fu-Lai ChungPublished in: Web Intelligence/IAT Workshops (2007)
Keyphrases
- cold start
- cross level
- association rule mining
- recommender systems
- cold start problem
- association rules
- collaborative filtering
- association rules mining
- data sparsity
- user preferences
- tag recommendation
- personalized recommendation
- data mining techniques
- data mining
- knowledge discovery
- implicit feedback
- mining algorithm
- user ratings
- frequent itemsets
- itemsets
- mining association rules
- frequent itemset mining
- matrix factorization
- data cube
- recommendation algorithms
- frequent patterns
- association mining
- image classification
- real world
- databases
- minimum support
- high dimensional