Collaborative Filtering

Collaborative Filtering is a recommendation system technique based on user behavior data. It predicts users' potential interest in items by analyzing the similarities between users or the associations between items, thereby achieving personalized recommendations. Its primary goal is to enhance the accuracy of recommendations and user satisfaction, and it is widely applied in e-commerce, social media, and online entertainment sectors, effectively increasing user retention and platform value.