Improved collaborative filtering recommendations using quantitative implication rules mining in implication field.
Hoang Tan NguyenHuu-Hung HuynhLan Phuong PhanHiep Xuan HuynhPublished in: ICMLSC (2019)
Keyphrases
- collaborative filtering
- recommender systems
- functional dependencies
- rule generation
- making recommendations
- cold start
- cold start problem
- itemsets
- interesting association rules
- user preferences
- association rule mining
- fuzzy association rules
- data sparsity
- quantitative measures
- recommendation systems
- content based filtering
- matrix factorization
- personalized recommendation
- rule mining
- collaborative filtering algorithms
- association rules
- recommendation quality
- episode rules
- peculiarity oriented mining
- quantitative and qualitative
- mining algorithm
- web mining
- fuzzy relations
- knowledge discovery
- user profiles
- positive and negative association rules
- data structure
- hybrid recommendation
- collaborative filtering recommendation
- generalized association rules
- relational databases
- weighted association rules
- online dating
- demographic information
- information filtering
- information overload