An imputation-based matrix factorization method for improving accuracy of collaborative filtering systems
A novel matrix factorization method called IMULT is proposed. IMULT utilizes imputed rating to mitigate the sparsity problem. The convergence proof of IMULT update rules is provided. The results show that IMULT performed better than ALS, SGD, RSGD, SVD++ and MULT.
matrix factorization collaborative filtering impute rates recommender system multiplicative update rules