Machine Learning Intermediate
scoring
The part of a recommendation system that provides a value or ranking for each item produced by the candidate generation phase.
Plain English Explanation
The part of a recommendation system that provides a value or ranking for each item produced by the candidate generation phase.
How is it used?
Practitioners refer to scoring when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.