Amazon Personalize
#207 · Level 3 · Modern architecture · AI and machine learningConcept
Section titled “Concept”Amazon Personalize makes separate recommendations for each user. It learns from data on user behavior — who viewed, bought or clicked what. You can also give it information about the products or content and about the users. It uses ML technology like Amazon.com’s, but you do not need to know ML yourself. An app can instantly ask for recommendations for a user through an API.
Simple example
Section titled “Simple example”A shopkeeper you know well, who knows your taste and shows you exactly the things you like.
Why it’s needed
Section titled “Why it’s needed”Showing everyone the same things lowers interest; personal recommendations increase sales.
Where it’s used
Section titled “Where it’s used”Product recommendations in e-commerce, video or news recommendations.
Azure equivalent
Section titled “Azure equivalent”No direct match; closest: your own model in Azure Machine Learning
Learn more
Section titled “Learn more”For details and the latest information, see the official documentation: