Product recommendations are personalized based on user preferences through algorithms and techniques.
These systems analyze user behavior, like browsing and purchase history, to understand their interests.
They use machine learning and data mining to find patterns and similarities between users.
For instance, collaborative filtering compares a user's preferences with similar users to suggest relevant items they might enjoy.