Content-boosted Matrix Factorization Techniques for Recommender Systems
Jennifer NguyenMu ZhuPublished in: CoRR (2012)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- user generated content
- low rank
- user interests
- negative matrix factorization
- factor analysis
- factorization methods
- nonnegative matrix factorization
- data sparsity
- cold start problem
- missing data
- implicit feedback
- cold start
- probabilistic matrix factorization
- stochastic gradient descent
- user profiles
- information overload
- user preferences
- data matrix
- item recommendation
- variational bayesian
- personalized recommendation
- high order
- tensor factorization
- search engine
- image classification
- rating prediction
- recommendation systems
- factor matrices
- random forests
- low rank matrix factorization