A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups.
Jesús BobadillaAbraham GutiérrezSantiago AlonsoRemigio HurtadoPublished in: Int. J. Interact. Multim. Artif. Intell. (2020)
Keyphrases
- collaborative filtering
- automatically detected
- recommender systems
- data sparsity
- matrix factorization
- recommendation systems
- user preferences
- personalized recommendation
- cold start problem
- recommendation algorithms
- bayesian networks
- online dating
- recommendation quality
- latent factor models
- cold start
- probabilistic model
- making recommendations
- latent class models
- generative model
- probabilistic logic
- item recommendation
- product recommendation
- user similarity
- transfer learning
- probabilistic matrix factorization
- uncertain data
- collaborative filtering recommender systems
- deal with information overload
- rating matrix
- user interests
- item based collaborative filtering
- movie recommendation
- demographic information
- facial landmarks
- belief networks
- information filtering