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Microsoft Azure Recommendations VS AWS Personalize

Compare Microsoft Azure Recommendations VS AWS Personalize and see what are their differences

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Microsoft Azure Recommendations logo Microsoft Azure Recommendations

Predict what your customers want and increase catalog discoverability

AWS Personalize logo AWS Personalize

Real-time personalization and recommendation engine in AWS
  • Microsoft Azure Recommendations Landing page
    Landing page //
    2021-07-26
  • AWS Personalize Landing page
    Landing page //
    2023-04-01

Category Popularity

0-100% (relative to Microsoft Azure Recommendations and AWS Personalize)

Microsoft Azure Recommendations

AWS Personalize

eCommerce
100 100%
eCommerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Utilities
100 100%
Utilities
0% 0
AI
0 0%
AI
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Personalize seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Azure Recommendations mentions (0)

We have not tracked any mentions of Microsoft Azure Recommendations yet. Tracking of Microsoft Azure Recommendations recommendations started around Mar 2021.

AWS Personalize mentions (6)

  • Evolutionary Recommender Design with Amazon Personalize
    Over the past few months I've been spending a fair amount of time working on personalization, leveraging one of my new favorite AWS services - Amazon Personalize. Needless to say there is much more that goes into building and launching a personalization system than just turning on a few services and feeding in some data. In this article I'll focus on what it takes to launch a new personalization strategy, and... - Source: dev.to / 9 months ago
  • I built a ChatGPT powered shopping tool
    Check this out https://aws.amazon.com/personalize/. Source: about 1 year ago
  • Social Media Web app
    You can use Algolia Recommend system, comes at a cost or even AWS. Source: over 1 year ago
  • It's sad to watch Oura get cheaper and cheaper with their customers. First you just had to buy the ring. Next they gave you 6 months free. Now they give you one month free. They must be getting squeezed by their VCs/Board to turn up the margins.
    It's not sleep analysis, technically. They have general tools that analyze and process data in different ways. For example, AWS Personalize could be something useful for Oura. Source: over 1 year ago
  • Amazon SES and everything to set it up
    With Amazon Pinpoint and Amazon Personalize sending marketing emails with content customized to user's preference. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Microsoft Azure Recommendations and AWS Personalize, you can also consider the following products

RecoMind.io - Personalized recommendations at scale

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Google Recommender API - Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Recombee - Recommender system as a service that uses advanced Machine Learning and Artificial Intelligence algorithms. Easy to try and evaluate.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

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