re-ranking
The final stage of a recommendation system, during which scored items may be re-graded according to some other (typically, non-ML) algorithm.
Plain English Explanation
The final stage of a recommendation system, during which scored items may be re-graded according to some other (typically, non-ML) algorithm. Re-ranking evaluates the list of items generated by the scoring phase, taking actions such as: - Eliminating items that the user has already purchased. - Boosting the score of fresher items. See Re-ranking in the Recommendation Systems course for more information.
How is it used?
Practitioners refer to re-ranking when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.