Tagged recommender-systems
Rebuilding evaluation calculations for recommendation systems
A lot of models work. Evaluation metrics tell us which ones work well.
Evaluation metrics describe how well a model predicts on unseen data, and are used in fine-tuning. In the Python package "implicit", the evaluation module returned errors for common metrics, such as Normalised Discounted Cumulative Gain (NDCG).