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/Personalizer - Building the Personalizer Loop and Testing Model
Personalizer - Building the Personalizer Loop and Testing Model
Learn to build a recommendation system using the Azure Personalizer SDK for Python.
We'll cover the following...
To recap, in the previous lesson, we’ve prepared the dataset, created the action items that we want to be ranked, created a method to get the user profile information. In this lesson, we’ll perform the remaining step to build the personalizer loop and implement the Rank and Reward API calls.
Updating the configuration setting
Before moving on, we need to make a configuration setting for the personalizer service in the Azure Portal to make the updates to the personalizer model at every 30 second. You can refer to the illustration below:
We can go to the “Configuration” tab under the “Resource Management” tab in the personalizer service resource’s page. Then we can update the duration at which the model needs to be updated by updating the duration under the “Model update frequency.”
Building the personalizer loop
Once we’ve all the profile ...