Keyphrases
- matrix factorization
- recommendation algorithms
- collaborative filtering
- recommender systems
- low rank
- recommendation systems
- data sparsity
- cold start
- negative matrix factorization
- personalized recommendation
- user preferences
- nonnegative matrix factorization
- cold start problem
- implicit feedback
- filtering algorithm
- factor analysis
- tensor factorization
- factorization methods
- probabilistic matrix factorization
- objective function
- stochastic gradient descent
- transfer learning
- missing data
- user profiles
- co occurrence
- item recommendation
- user experience
- sparsity constraints
- recommendation quality
- binary matrix