Collaborative Filtering
Collaborative filtering is a method used by recommender systems to predict user preferences based on the preferences of other similar users. It leverages the collective wisdom of a community to make personalized recommendations. Key Characteristics / Core Concepts User-based: Focuses on finding users with similar tastes. Item-based: Focuses on finding items frequently consumed together. Prediction: … Read more