Propose an alternative approach to SVD for predicting ratings on missing entries in your real-time recommender system. Explain the advantages and tradeoffs of this new method.

Consider using a matrix completion algorithm, such as Nuclear Norm Minimization (NNM), which can handle missing data more effectively than SVD. This would improve rating predictions under certain conditions but may come at the cost of increased training time or overfitting risk.