Content-boosted matrix factorization techniques for recommender systems.
Jennifer NguyenMu ZhuPublished in: Stat. Anal. Data Min. (2013)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- user generated content
- low rank
- user interests
- implicit feedback
- cold start problem
- nonnegative matrix factorization
- negative matrix factorization
- factor analysis
- probabilistic matrix factorization
- data sparsity
- factorization methods
- user generated
- variational bayesian
- stochastic gradient descent
- user profiles
- item recommendation
- rating prediction
- missing data
- recommendation quality
- low rank matrix factorization
- data matrix
- user preferences
- user model
- information overload
- recommendation systems
- web content
- user feedback