Joint latent factors and attributes to discover interpretable preferences in recommendation.
Cong ZouZhenzhong ChenPublished in: Inf. Sci. (2019)
Keyphrases
- latent factors
- latent factor models
- user preferences
- matrix factorization
- factor analysis
- collaborative filtering
- recommender systems
- implicit feedback
- user behavior
- latent variables
- topic models
- recommendation systems
- nonnegative matrix factorization
- probabilistic latent semantic analysis
- graphical models
- independent component analysis
- topic modeling
- probability distribution
- face recognition