Topic aspects-based generative mixture model for movie recommendation system using deep convolutional network.
Maha Al-GhalibiKai LawonnPublished in: ICMV (2019)
Keyphrases
- mixture model
- generative model
- unsupervised learning
- probabilistic model
- convolutional network
- latent dirichlet allocation
- em algorithm
- gaussian mixture model
- topic models
- density estimation
- expectation maximization
- convolutional neural networks
- model selection
- maximum likelihood
- probability density function
- conditional random fields
- bayesian framework
- language model
- prior knowledge
- object categories
- gaussian mixture
- feature selection
- probabilistic mixture model
- collaborative filtering
- bayesian networks
- text classification
- co occurrence
- probability distribution
- latent topics
- training data
- similarity measure
- feature extraction