You have developed a machine learning model for a recommendation system. What evaluation metric would you use to assess the quality of the recommended items?

In recommendation systems, Mean Average Precision (MAP) is a suitable metric. It considers both the precision and recall of the recommendations, providing a balanced view of the model's performance in suggesting relevant items to users. MAE and RMSE are more appropriate for regression tasks.