Recommendation systems relying on deep neural networks outperform those based on "traditional" machine learning algorithms in a variety of studies, according to Amazon’s research. Thanks to their complex, multi-layered structures with interconnected nodes, neural networks can better identify non-linear relationships among data points. However, they require superior computational resources, wider training data sets, and extensive hyperparameter optimization to tune the learning process.