Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required.
- Deliver high quality recommendations, in real-time
- Easily implement personalized recommendations in days, not months
- Personalize every touchpoint along the customer journey
- Data privacy and security
How Amazon Personalize Works
Amazon Personalize takes care of machine learning for you. It can automatically load and inspect the data, lets you to select the right algorithms, train a model, provide accurate metrics, and generate personalized recommendations.
- Make your recommendations relevant by responding to the changing intent of your users in real time.
- Compute recommendations for very large numbers of users or items in one go, store them, and feed them to batch-oriented workflows such as email systems.
- Effectively generate recommendations even for new users and find relevant new item recommendations for your users.
- Improve relevance of recommendations by generating them within a context, for instance device type, time of day, and more.
- Unlock the information trapped in product descriptions, reviews, movie synopses, or other unstructured text to generate highly relevant recommendations for users. Provide unstructured text as part of your catalog, and Amazon Personalize automatically extracts key information to use when generating recommendations.
How to get most out of Amazon Personalize with AI Guides
Get an unbiased assessment of your needs, and shortlist the best options. Make sure you only buy what you need, and that it will work in your environment.
Discuss how multiple tools can fit together, so that you can drive efficiencies in your practice, and find new sources of value for clients as the rate of technological change accelerates.
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