- Introduction
- interactions data and side information would be jointly factorized with the help of machine_learning/dimensionality_reduction/Singular Value Decomposition
- main contributions
- generalize PureSVD by allowing it to incorporate and to jointly factorize side information along with collaborative data. We call this approach HybridSVD
- off-the-shelf