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AWS Personalize VS RecoMind.io

Compare AWS Personalize VS RecoMind.io and see what are their differences

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AWS Personalize logo AWS Personalize

Real-time personalization and recommendation engine in AWS

RecoMind.io logo RecoMind.io

Personalized recommendations at scale
  • AWS Personalize Landing page
    Landing page //
    2023-04-01
  • RecoMind.io Landing page
    Landing page //
    2021-09-20

We increase the conversion of your e-commerce with AI Recommendations.

We offer a commission-based service, there is no upfront investment from your part, we only get a small fee when we get you a sale.

We have 4 modalities of recommenders: product recommendation (increase conversion), you might also like (increase chances of buying and up-selling), frequently bought together (cross-selling) and similar items (down-selling).

AWS Personalize

Website
aws.amazon.com
Pricing URL
-
$ Details
Platforms
-
Edit details

RecoMind.io

Website
recomind.io
Pricing URL
Official RecoMind.io Pricing
$ Details
freemium
Platforms
REST API Magento Wordpress Browser Web Cross Platform Cloud WooCommerce Shopify
Edit details

Category Popularity

0-100% (relative to AWS Personalize and RecoMind.io)

AWS Personalize

RecoMind.io

Data Science And Machine Learning
82 82%
Data Science And Machine Learning
18% 18
eCommerce
0 0%
eCommerce
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Data Dashboard
100 100%
Data Dashboard
0% 0

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.

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 / 8 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
View more

RecoMind.io mentions (0)

We have not tracked any mentions of RecoMind.io yet. Tracking of RecoMind.io recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS Personalize and RecoMind.io, you can also consider the following products

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.

Microsoft Azure Recommendations - Predict what your customers want and increase catalog discoverability

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

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

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