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Amazon Personalize

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Amazon Personalize

Last updated on November 24, 2025

Amazon Personalize Cheat Sheet

  • A fully managed machine learning service for building recommendation systems.
  • Amazon Personalize allows you to train, build, and deploy recommendation models without an extensive machine learning experience.
  • Offers batch and real-time recommendations.

Common Use Cases:

  • Personalized product and content recommendations.
  • Product rankings.
  • Improves marketing communication through individualized push notifications and emails.
  • Tutorials dojo strip
  • Adjust recommendations in real-time as user behavior changes.
  • Suggest complementary products based on purchase patterns.
  • Improve search relevance for each user.
  • Recommend items or content that increase user engagement and reduce churn.

Concepts

  • Amazon Personalize can provide recommendations based on real-time data, historical data, or a mix of both.
  • Event trackers
    • Records user interactions in real-time.
  • Recipe
    • Refers to the algorithm to be used in training a solution for a given use case.
    • Available Recipes
      • USER_PERSONALIZATION – optimized for personalized recommendation systems
      • PERSONALIZED_RANKING – a hierarchical recurrent neural network (HRNN) for providing a list of best recommendations (e.g., ranking search results)
      • RELATED_ITEMS – predicts item similar to a given item
  • Datasets: Include Users, Items, and Interactions datasets. Essential for model training.

  • Solution: A trained model ready for recommendations.

  • Campaign: Deployed solution for real-time or batch inference.

  • Schema: Defines the structure of the dataset (attributes and types).

Amazon Personalize Pricing

  • Pay only for what you use.
  • You are billed for data ingestion, training, and inference (recommendation)
  • Cost depends on dataset import, model training, campaign deployment, and real-time inference.
  • No upfront costs; pay as you go.
  • Consider data retention and storage costs for long-term personalization solutions.

Note: If you are studying for the AWS Certified Machine Learning Specialty exam, we highly recommend that you take our AWS Certified Machine Learning – Specialty Practice Exams and read our Machine Learning Specialty exam study guide.

AWS Certified Machine Learning Specialty Practice Exams

Amazon Personalize Cheat Sheet References:

https://aws.amazon.com/personalize
https://aws.amazon.com/blogs/machine-learning/using-a-b-testing-to-measure-the-efficacy-of-recommendations-generated-by-amazon-personalize/
https://aws.amazon.com/blogs/machine-learning/amazon-personalize-can-now-create-up-to-50-better-recommendations-for-fast-changing-catalogs-of-new-products-and-fresh-content/

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Written by: Jon Bonso

Jon Bonso is the co-founder of Tutorials Dojo, an EdTech startup and an AWS Digital Training Partner that provides high-quality educational materials in the cloud computing space. He graduated from Mapúa Institute of Technology in 2007 with a bachelor's degree in Information Technology. Jon holds 10 AWS Certifications and is also an active AWS Community Builder since 2020.

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