Collaborative filtering recommendation based on conditional probability and weight adjusting.
Haitao WuWen-Kuang ChouNingbo HaoDuan WangJingfu LiPublished in: Int. J. Comput. Sci. Eng. (2015)
Keyphrases
- conditional probabilities
- collaborative filtering
- bayesian networks
- probabilistic inference
- recommender systems
- probability distribution
- probabilistic model
- random variables
- matrix factorization
- data sparsity
- joint distribution
- belief networks
- bayesian model
- posterior probability
- user preferences
- joint probability
- recommendation systems
- user profiles
- user ratings
- making recommendations
- class labels
- network parameters
- discrete random variables
- information retrieval
- reinforcement learning
- collaborative filtering algorithms
- pearson correlation coefficient
- web page recommendation
- probabilistic matrix factorization