An empirical study of a cross-level association rule mining approach to cold-start recommendations.
Cane Wing-ki LeungStephen Chi-fai ChanFu-Lai ChungPublished in: Knowl. Based Syst. (2008)
Keyphrases
- cross level
- cold start
- association rule mining
- recommender systems
- association rules
- cold start problem
- collaborative filtering
- data sparsity
- tag recommendation
- association rules mining
- user preferences
- data mining
- implicit feedback
- mining algorithm
- itemsets
- personalized recommendation
- knowledge discovery
- association mining
- user ratings
- matrix factorization
- mining association rules
- frequent itemset mining
- recommendation algorithms
- frequent itemsets
- data mining techniques
- data cube
- data structure
- databases
- user interests
- eye tracking