Personalizer - Building the Personalizer Loop and Testing Model
Explore how to build the Azure Personalizer loop by integrating Rank and Reward API calls. Understand updating configurations, capturing user profiles, and using feedback to improve AI recommendations. This lesson guides you through coding a dynamic personalization model that adapts to user interactions over iterations.
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 ...