Propose a dimensionality reduction technique to mitigate the impact of high-dimensional data on your recommendation system’s performance. Explain how it addresses the issue and its potential trade-offs.

Implement Independent Component Analysis (ICA) to disentangle correlated features, reduce dimensionality, and improve model interpretability. This will enable better feature extraction, faster inference times, and more accurate recommendations at the cost of potentially introducing some noise or losing non-linear relationships between variables.