Similarity-Based Matrix Factorization for Item Cold-Start in Recommender Systems.
Eduardo Pereira FressatoArthur Fortes da CostaMarcelo Garcia ManzatoPublished in: BRACIS (2018)
Keyphrases
- matrix factorization
- recommender systems
- cold start
- cold start problem
- collaborative filtering
- data sparsity
- item recommendation
- personalized recommendation
- low rank
- user preferences
- implicit feedback
- information overload
- recommendation algorithms
- nonnegative matrix factorization
- factorization methods
- item based collaborative filtering
- tensor factorization
- user generated content
- user model
- probabilistic matrix factorization
- user profiles
- recommendation quality
- missing data
- recommendation systems
- latent factor models
- collaborative filtering algorithms
- rating prediction
- user ratings
- image retrieval