A personalized ranking is a list of recommended items that are re-ranked for a specific user. To get personalized rankings, call the GetPersonalizedRanking API operation or get recommendations from a campaign in the console.
Note
The solution backing the campaign must have been created using a recipe of type PERSONALIZED_RANKING. For more information, see Choosing a recipe.
Topics
How personalized ranking scoring works
Like the scores returned by the GetRecommendations operation for solutions created with
the User-Personalization-v2 and User-Personalization recipes,
GetPersonalizedRanking scores sum to 1, but only the input items receive scores and
recommendation scores tend to be
higher. If an item wasn't present during the latest training, it receives a score of 0.
Mathematically, the scoring function for GetPersonalizedRanking is identical to
GetRecommendations, except that it only considers the input items. This means
that scores closer to 1 become more likely, as there are fewer other choices to divide up
the score:
Personalized-Ranking sample notebook
For a sample Jupyter notebook that shows how to use the Personalized-Ranking recipe see Personalize Ranking Example
