Personalization, Algorithms, Recommendation System.
multiple recommendation lists generated for different users. It aims to avoid showing the same items to multiple users. Novelty Metrics: Measure how novel or unexpected the recommended items are for users. It encourages algorithms to recommend items that users might not have encountered before.