A Hybrid User Recommendation Scheme Based on Collaborative Filtering and Association Rules.
Yuwei JiaKun ChaoXinzhou ChengJian GuanLijuan CaoYi LiChen ChengYuchao JinLexi XuPublished in: TrustCom (2021)
Keyphrases
- collaborative filtering
- recommender systems
- association rules
- user preferences
- recommendation systems
- recommendation quality
- matrix factorization
- web page recommendation
- hybrid recommendation
- data sparsity
- recommendation algorithms
- item recommendation
- user ratings
- cold start
- association rule mining
- personalized recommendation
- online dating
- user profiles
- user interests
- cold start problem
- collaborative recommendation
- item based collaborative filtering
- data mining
- knowledge discovery
- information overload
- content based filtering
- user specific
- product recommendation
- user profiling
- implicit feedback
- active user
- collaborative filtering recommender systems
- information filtering
- classification rules
- transfer learning
- user interaction
- data mining techniques
- collaborative tagging
- mining association rules
- apriori algorithm
- formal concept analysis
- user experience
- user behavior