Genetic Algorithm-Based Matrix Factorization for Missing Value Prediction.
Sujoy ChatterjeeAnirban MukhopadhyayPublished in: CICBA (2) (2017)
Keyphrases
- matrix factorization
- missing data
- missing values
- data imputation
- data matrix
- imputation methods
- low rank
- collaborative filtering
- recommender systems
- negative matrix factorization
- prediction accuracy
- incomplete data
- nonnegative matrix factorization
- factorization methods
- factor analysis
- incomplete data sets
- stochastic gradient descent
- data sparsity
- item recommendation
- image processing
- latent factors
- tensor factorization
- personalized ranking
- rows and columns
- latent factor models
- probabilistic matrix factorization
- feature selection