An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth.
Wanli FengQuanyin ZhuJun ZhuangShimin YuPublished in: Clust. Comput. (2019)
Keyphrases
- pearson correlation coefficient
- collaborative filtering
- recommendation algorithms
- fp growth
- frequent patterns
- recommender systems
- mining frequent patterns
- frequent pattern mining
- frequent itemsets
- association rule mining
- recommendation systems
- fp tree
- personalized recommendation
- matrix factorization
- association rules
- frequent itemset mining
- pattern growth
- cold start
- filtering algorithm
- mining association rules
- tree structure
- data sparsity
- pattern mining
- user preferences
- learning to rank
- apriori algorithm
- mining algorithm
- minimum support
- cold start problem
- user profiles
- link prediction
- mining frequent itemsets
- itemsets
- data structure