A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering.
Xin DaiFanzhang LiXiaopei LiHelan LiangPublished in: IJCNN (2019)
Keyphrases
- collaborative filtering
- recommender systems
- bayesian networks
- data driven
- posterior probability
- matrix factorization
- interval estimation
- user preferences
- data sparsity
- user profiles
- information filtering
- implicit feedback
- cold start problem
- probabilistic matrix factorization
- information overload
- probabilistic model
- recommendation quality
- cold start
- personalized recommendation
- decision theory
- bayesian inference
- latent class models
- user model
- product recommendation
- low rank
- prior probabilities
- generative model
- recommendation systems
- generalized em algorithm
- uncertain data
- netflix prize
- transfer learning
- deal with information overload
- pearson correlation coefficient
- user item rating
- active user
- collaborative filtering algorithms
- user ratings
- recommendation algorithms
- bayesian methods
- posterior distribution
- belief networks
- user interaction
- probability distribution