[null,null,["最后更新时间 (UTC):2024-07-26。"],[[["Recommendation systems can be improved by re-ranking candidates using filters or score transformations based on criteria like video age or click-bait detection."],["Maintaining freshness in recommendations involves regularly retraining models, incorporating new user and item data, and potentially using DNNs or age-based features."],["Enhancing diversity can be achieved by employing multiple candidate generators and rankers, along with re-ranking based on metadata like genre."],["Ensuring fairness requires diverse development teams, comprehensive training data, and monitoring metrics across demographics to mitigate biases."]]],[]]