The recommended item ID.
Metadata about the item from your Items dataset.
The name of the promotion that included the predicted item.
If you use User-Personalization-v2, a list of reasons for why the item was included in recommendations. Possible reasons include the following:
A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work.