Amazon Personalize

 

• 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.

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

Pricing

• Pay only for what you use.
• You are billed for data ingestion, training, and inference (recommendation)