Engagement Prediction

Algorithm
Use Cases

Prerequisites

Before you reach this stage, ensure you’ve:
  1. Created a schema
  1. Integrated code to process your data and installed Begin’s Python SDK
  1. Created a project with the objective “Predict User Engagement”
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.