Clustering-based factorized collaborative filtering.
Nima MirbakhshCharles X. LingPublished in: RecSys (2013)
Keyphrases
- collaborative filtering
- matrix factorization
- recommender systems
- data sparsity
- user preferences
- probabilistic matrix factorization
- low rank
- information filtering
- cold start problem
- collaborative filtering algorithms
- user profiles
- deal with information overload
- database
- maximum margin matrix factorization
- pearson correlation coefficient
- recommendation quality
- personalized recommendation
- recommendation systems
- latent factor models
- product recommendation
- neighbor selection
- making recommendations
- transfer learning
- real world