What is Personalizer?
Explore how Azure Personalizer leverages reinforcement learning to provide personalized content recommendations based on user behavior. Understand its key APIs for ranking and rewarding content, and learn the steps to create and deploy a Personalizer resource within Azure. This lesson equips you with the knowledge to implement efficient recommendation systems without requiring deep machine learning expertise.
Introduction to Azure personalizer
Azure personalizer is a content recommendation system that recommends content based upon a user’s behavior and their actions with an application. For example, when we visit YouTube today, it recommends us videos based on our previous experience with the application. This experience could be the types of videos that you watch, the videos that you liked, the videos on which you put a comment, and so on and so forth. Another example could be Netflix. It also recommends movies and TV shows based on your interests or your viewing history.
The Azure personalizer service uses reinforcement learning behind the scenes. Let’s look at an example to understand how powerful reinforcement learning is. Google DeepMind has developed an application named AlphaZero that can play chess, shogi, and go games. The AlphaZero uses reinforcement learning to learn the steps that it should take in a game in order to win the game.
Reinforcement learning is an approach in which the ...