Amazon Personalize
A service for building real-time personalization and recommendation systems.
Exam Tip: Personalize = recommendation engine. If the question involves personalized recommendations, product suggestions, or "customers who bought X also bought Y," the answer is Personalize.
Recipes
Pre-built algorithms optimized for specific recommendation use cases:
- User Personalization: Personalized recommendations for each user
- Similar Items: "Customers who viewed this also viewed..."
- Personalized Ranking: Re-rank a list of items based on user preferences
- Trending Items: Surface currently popular items
Real-time Recommendations
- Sub-second recommendation response times
- Automatically adapts to user behavior in real-time
- No ML expertise required — provide interaction data (clicks, purchases, ratings), Personalize builds and trains models
- Event tracking for real-time behavior capture
- A/B testing for recommendation strategies
Common Use Cases
- E-commerce product recommendations
- Media content recommendations (movies, music, articles)
- Personalized email marketing campaigns
- Dynamic homepage personalization
- Search result re-ranking based on user preferences