Prediction of Student Performance in Abacus-Based Calculation Using Matrix Factorization.
Keita TokudaDavid KaschubTakuma OtaYasunobu HashimotoNaoya FujiwaraAkihito SudoPublished in: UMAP (Adjunct Publication) (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- missing data
- prediction accuracy
- factorization methods
- negative matrix factorization
- nonnegative matrix factorization
- factor analysis
- data sparsity
- variational bayesian
- item recommendation
- stochastic gradient descent
- latent factors
- factorization method
- tensor factorization
- missing values
- multiscale
- personalized ranking
- semi supervised
- factor matrices