Recommender systems personalize content by recommending items to users. Item recommendation algorithms are evaluated metrics that compare the positions of truly relevant among recommended items. To speed up computation metrics, recent work often uses sampled where only a smaller set random and ranked. This paper investigates such in more detail shows they inconsistent with their exact counterpa...