Multi-task Learning for Bayesian Matrix Factorization

Data sparsity is a big challenge for collaborative filtering. This problem becomes more serious if the dataset is newly created and has even fewer ratings. By sharing knowledge among different datasets, multi-task learning is a promising technique to address this issue. Most prior work methods direc... View More