User Personalization

Amazon Personalize Recipe: User-Personalization

Product and content recommendations tailored to a user’s profile and habits are more likely to drive higher conversion. Amazon Personalize helps tailor recommendations to users behavior, preferences, and history, boosting their engagement and satisfaction in real-time, instead of providing a uniform experience. User personalization also handles the “cold-start” challenge where limited or no historical information is known about an item or user. User personalization in Amazon Personalize balances recommending fresh items with the most relevant based on a user’s unique preferences and behaviors.

User personalization is implemented in the “Inspired by your shopping trends” section. Try using different shoppers to experience the difference in personalized product recommendations offered.

If you’re not signed in, featured products will be displayed instead.