Recommendation systems typically employ one or more of the following methods:
Collaborative Filtering: This method makes suggestions based on the preferences of users who have similar tastes. Content-Based Filtering: Here, recommendations are made by analyzing the characteristics of the items themselves, and matching these characteristics with user preferences. Hybrid Methods: These combine collaborative and content-based filtering to improve the accuracy and relevance of recommendations.