Iterative collaborative filtering for recommender systems with sparse data.
Zhuo ZhangPaul CuffSanjeev R. KulkarniPublished in: MLSP (2012)
Keyphrases
- sparse data
- recommender systems
- collaborative filtering
- high dimensional
- matrix factorization
- data sparsity
- user preferences
- cold start problem
- netflix prize
- personalized recommendation
- user profiles
- recommendation algorithms
- recommendation systems
- cold start
- multi category
- user item rating
- probabilistic matrix factorization
- information overload
- user interests
- implicit feedback
- random projections
- recommendation quality
- data cube
- image classification
- database systems
- metadata
- item based collaborative filtering
- hybrid recommendation