If you are using the Interact built-in learning module, you can influence the learning output beyond the standard learning configurations such as the list of learning attributes or the confidence level. You can override components of the learning algorithm while using the remaining components.
You can override learning using the LikelihoodScore and
AdjExploreScore columns of the default offers and score override tables. You can add these columns to the default offers and score override tables using the
aci_scoringfeature feature script. To properly use these overrides, you need a thorough understanding of
Interact built-in learning.