AWS Personalize
Scikit-learn
machine-learning in Python
Google Cloud TPU
python-recsys
Amazon Forecast
Qubole
Microsoft Recommendations API
DebugTool
Webvizio
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We work in an agency that develops websites mainly in WordPress, and regularly based on our experience over several years of working with multiple clients, we have discovered that one of the main problems between agency-client is communication, which often sometimes is tedious and fruitless, but now with the visual debugger is easy to point in the screen what needs to be changed and do it quickly. Also, we had a problem calculating how much our will cost our services for the customers according to the time spent on their projects but now with the "Time tracking" function, we can know exactly how much time was dedicated to the project and based on that invoice the client with greater certainty.
I think this is a great solution for web designers that needs to clear all visual bugs of a website fast to deliver in less time and get more jobs quickly.
Based on our record, AWS Personalize seems to be more popular. It has been mentiond 9 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.
E-commerce Personalization: Platforms analyze user behavior to recommend products, creating personalized shopping experiences. Here is a service I can recommend for recommendations Amazon Personalize. - Source: dev.to / over 1 year ago
Amazon personalize Amazonโs recommendation system is one of the best recommendation systems in existence. While Amazon hasnโt open sourced its recommendation model, you can still gain access to their algorithm by paying a nominal fee. You can tune it using your own data and use it in production. Companies like LOTTE, Discovery, etc., also use Amazon Personalize to power their recommendation system. You can find... - Source: dev.to / almost 2 years ago
Solution Using AI APIs:To address this issue, the platform integrated Amazon Personalize, an AI API from Amazon Web Services (AWS), to implement personalized recommendation features. Amazon Personalize uses machine learning algorithms to analyze user behavior and preferences, generating individualized product recommendations. The integration process involved:. - Source: dev.to / about 2 years ago
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 / almost 3 years ago
Check this out https://aws.amazon.com/personalize/. Source: over 3 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Webvizio - This free website feedback tool & website review software allows managers and teams to collaborate on website revisions in real time. Join for free now!
machine-learning in Python - Do you want to do machine learning using Python, but youโre having trouble getting started? In this post, you will complete your first machine learning project using Python.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
python-recsys - python-recsys is a python library for implementing a recommender system.
Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
