Bounded matrix factorization for recommender system.
Ramakrishnan KannanMariya IshtevaHaesun ParkPublished in: Knowl. Inf. Syst. (2014)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- factorization methods
- negative matrix factorization
- factor analysis
- nonnegative matrix factorization
- data sparsity
- cold start problem
- implicit feedback
- user preferences
- user feedback
- personalized recommendation
- stochastic gradient descent
- user profiles
- latent factors
- item recommendation
- data matrix
- cold start
- factorization method
- tensor factorization
- rating prediction
- missing data
- personalized ranking
- probabilistic matrix factorization