Engagement Prediction
Algorithm
Use Cases
Prerequisites
Before you reach this stage, ensure you’ve:
Learning usually takes about 30 minutes. Once complete, your machine learning algorithm is ready to be used on your mobile device, browser, connected vehicles, or server applications.
Procedure
In order to fetch recommendations, follow the initialization step:
import Begin as bg applier = bg.AlgorithmsApplier(app_id=APP_ID, license_key=LICENSE_KEY)
To use your trained algorithm, input the following code
bg.predict_engagement(project uuid, user_id, object_id)
This will return a confidence score of interest your user will have with the object.
If you performed the initial processing in Python, you can still use the algorithm with other SDKs like Android or iOS SDKs.