Matrix Factorization Techniques for Recommender Systems.
Yehuda KorenRobert M. BellChris VolinskyPublished in: Computer (2009)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- data sparsity
- cold start problem
- user preferences
- low rank
- variational bayesian
- nonnegative matrix factorization
- negative matrix factorization
- information overload
- factor analysis
- factorization methods
- user profiles
- data matrix
- item recommendation
- cold start
- tensor factorization
- personalized recommendation
- rating prediction
- probabilistic matrix factorization
- factorization method
- stochastic gradient descent
- implicit feedback
- user interests
- least squares
- semi supervised