Tag Genome Aware Collaborative Filtering Based on Item Clustering for Recommendations.
Zhipeng GaoBo LiKun NiuYang YangPublished in: IntelliSys (1) (2018)
Keyphrases
- collaborative filtering
- user ratings
- tag information
- making recommendations
- recommender systems
- user preferences
- personalized recommendation
- hybrid recommendation
- cold start
- cold start problem
- latent factor models
- recommendation algorithms
- tag recommendation
- item recommendation
- user based collaborative filtering
- social tagging systems
- user similarity
- clustering algorithm
- collaborative filtering algorithms
- matrix factorization
- active user
- collaborative filtering recommendation algorithm
- recommendation systems
- data sparsity
- recommendation quality
- rating prediction
- clustering method
- social tags
- data clustering
- item based collaborative filtering
- product recommendation
- human genome
- collaborative filtering recommendation
- collaborative recommendation
- content based filtering
- implicit feedback
- cluster analysis
- k means
- unsupervised learning
- user item rating
- pearson correlation coefficient
- user profiles
- filtering algorithm
- user feedback
- hierarchical clustering