Scoring — процесс применения new data к trained model для получения predictions, probabilities, rankings или categories. В recommender systems scoring также может означать присвоение values candidate items, чтобы их можно было rank для presentation.
Scoring is the process of applying new data to a trained machine learning model, and generating predictions. Scoring is also known as inferencing. Depending on the type of model, the score can be a raw value, a probability, or a category.
The part of a recommendation system that provides a value or ranking for each item produced by the candidate generation phase.