Personalization, Algorithms, Recommendation System.
personalized to each user’s preferences. It compares the overlap between users’ recommended items and measures of global popularity. ii) Personalization Diversity: Gauges the extent to which recommendations are tailored to individual users’ unique preferences. User Engagement Metrics: i)