What is feature interaction explosion and how is it handled in modern ML systems?

Feature interaction explosion occurs when combinatorial feature combinations grow exponentially in feature engineering.

In high-dimensional datasets, explicitly modeling all feature interactions becomes computationally infeasible due to exponential growth. Modern solutions include embedding-based representations, factorization machines, deep learning models, and attention mechanisms that implicitly learn interactions. Feature selection and regularization also help control complexity.