amazon-personalize-automated-retraining
amazon-personalize-monitor
| amazon-personalize-automated-retraining | amazon-personalize-monitor | |
|---|---|---|
| 7 | 1 | |
| 18 | 24 | |
| - | - | |
| 0.0 | 3.6 | |
| about 3 years ago | about 1 year ago | |
| Python | Python | |
| MIT No Attribution | MIT No Attribution |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
amazon-personalize-automated-retraining
-
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 architect it to evolve over time.
-
I built a ChatGPT powered shopping tool
Check this out https://aws.amazon.com/personalize/
-
Social Media Web app
You can use Algolia Recommend system, comes at a cost or even AWS
-
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.
- Amazon Personalize
-
Amazon SES and everything to set it up
With Amazon Pinpoint and Amazon Personalize sending marketing emails with content customized to user's preference.
-
Learnings from creating recommendation engines with Amazon Personalize
Amazon Personalize automated retraining
amazon-personalize-monitor
-
Learnings from creating recommendation engines with Amazon Personalize
Amazon Personalize Monitor
What are some alternatives?
amazon-personalize-samples - Notebooks and examples on how to onboard and use various features of Amazon Personalize
pg-counter-metrics - PG Counter Metrics ( PGCM ) is a tool for publishing PostgreSQL performance data to CloudWatch. By publishing to CloudWatch, dashboards and alarming can be used on the collected data.
amazon-personalize-ingestion-pipeline - Pipeline for data ingestion to Amazon Personalize and user interaction history tracking
glances - Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
amazon-personalize-data-conversion-pipeline - Sample data conversion pipeline for importing data into Amazon Personalize.
kafka-connect-watcher - Kafka Connect Watcher
cwtune - CLI for selecting and back-testing CloudWatch alarm configuration
recomendaciones-rest-api - Despliegue de API REST para invocar modelos entrenados de Amazon Personalize.