A hybrid recommendation approach using LDA and probabilistic matrix factorization.
Yulin CaoWenli LiDongxia ZhengPublished in: Clust. Comput. (2019)
Keyphrases
- probabilistic matrix factorization
- hybrid recommendation
- collaborative filtering
- topic modeling
- recommender systems
- linear discriminant analysis
- latent dirichlet allocation
- matrix factorization
- data sparsity
- topic models
- discriminant analysis
- face recognition
- feature extraction
- user preferences
- recommendation systems
- generative model
- dimensionality reduction
- opinion mining
- user profiles
- latent topics
- information retrieval
- principal component analysis
- closed form
- feature space
- transfer learning
- high dimensional data
- unsupervised learning
- learning algorithm