Research for possible evaluation metrics

[naz2001r]

Possible Resources:

• https://neptune.ai/blog/recommender-systems-metrics
• https://github.com/Microsoft/Recommenders/blob/main/examples/03_evaluate/evaluation.ipynb
• https://chaitanyabelhekar.medium.com/recommender-system-metrics-clearly-explained-1f2ba6690216
• https://towardsdatascience.com/evaluation-metrics-for-recommender-systems-df56c6611093
• http://sdsawtelle.github.io/blog/output/mean-average-precision-MAP-for-recommender-systems.html

[naz2001r]

1. MAP@k, default k=10,20,100
2. P@k, default k=10,20,100
3. Recall@k, default k=10,20,100
4. Discounted cumulative gain (DCG)
5. Coverage