Metrics, NLP, Search, Recommendation System, Evaluation.
are 1. Top N metrics can be biased towards the most relevant answer compared to other relevant answers. If top n is correct, top n+k always becomes correct, where n > 0 and k > 0. This can lead to a lack of diversity in the answers and cannot evaluate multiple relevant answers. 2. Precision over k: