Question
Adaptive Models
I have done several ADM implementation assessments, and keep seen the same mistake over and over. The outcome behavior options are POSITIVE and NEGATIVE, when it should be POSITIVE and NON-POSITIVES.
The reason for this is that a model predicts the happening (1) or not happening (0) of an event.
On ADM use cases for call centers, this approach was OK as positive=accepted, negative=declined, but on web, email, and other use cases this is no longer valid.
For example, on web, the prediction is an ad click, where the positive behavior is a click, and a negative behavior is an impression minus the clicks.
Are the above statements OK? If not, what is the right approach for use cases where the user will not give a direct 'negative' response?
Hi,
I would suggest leveraging the identity matching capabilities explained here
https://community.pega.com/video-library/leveraging-identity-matching
This demonstration will describe how to design strategies that recommend relevant offers by leveraging the identity matching capability.
Hope this helps!
Cheers,
Santhosh