A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering.
Jiangzhou DengJunpeng GuoYong WangPublished in: Knowl. Based Syst. (2019)
Keyphrases
- collaborative filtering
- recommendation algorithms
- probability distribution
- recommender systems
- recommendation systems
- user preferences
- personalized recommendation
- user based collaborative filtering
- collaborative filtering recommendation
- clustering algorithm
- item based collaborative filtering
- social recommendation
- matrix factorization
- cold start
- filtering algorithm
- clustering method
- recommendation quality
- k means
- data sparsity
- product recommendation
- bayesian networks
- user profiles
- image quality
- collaborative filtering algorithms
- probability density function
- user interests
- transfer learning
- co occurrence
- active learning
- image sequences