How do recommendation systems use data mining techniques?

They use collaborative filtering, content-based filtering, and hybrid mining approaches.

Recommendation systems mine user behavior patterns to predict preferences. Collaborative filtering uses user-item interactions, content-based filtering uses item features, and hybrid models combine both. Techniques like matrix factorization, nearest neighbors, and deep learning embeddings are widely used.