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Amazon Personalize - Machine Learning Software

Amazon Personalize

Tailored recommendations for an enhanced user experience.

Overview of Amazon Personalize

What is Amazon Personalize ?

Amazon Personalize is a machine-learning web service that helps to improve site's user experience by automatically generating personalized recommendations based on millions of books, articles, and reviews from sites like Goodreads.com. Personalize can recommend similar titles or suggestions for users ... Read More

API available

Amazon Personalize Platforms

  • Browser Based (Cloud)

Amazon Personalize Customer Type

  • Large Enterprises
  • Medium Business
  • Small Business

Pricing of Amazon Personalize

  • Free Trial,
  • One-time license

Screenshot of the Amazon Personalize Pricing Page (Click on the image to visit Amazon Personalize 's Pricing page)

Disclaimer: Pricing information for Amazon Personalize is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .

Amazon Personalize Alternatives

BigML - New SaaS Software

BigML

New SaaS Software

Powerful models, simplified for all stakeholders.

Amazon Personalize FAQs

Here's a list of the best alternatives for Amazon Personalize
Yes, Amazon Personalize provides API.
No, Amazon Personalize doesn’t provide mobile app.
Amazon Personalize is located in Seattle, WA
Amazon Personalize offers Free Trial, One-time license pricing models
We don't have information regarding integrations of the Amazon Personalize as of now.

Amazon Personalize Support

Customer Service

Online

Location

Seattle, WA

Read More about Amazon Personalize

Amazon Personalize is a machine-learning web service that helps to improve site's user experience by automatically generating personalized recommendations based on millions of books, articles, and reviews from sites like Goodreads.com. Personalize can recommend similar titles or suggestions for users to make after they have finished a book or article.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta