AWS Public Sector Blog
Author: Parvez Rafi
Parvez Rafi is the engineering lead of the Personalization Team at Skillshare. He works with his team on exciting engineering problems involving Recommender Systems, NLP, MLOps and other data-centric applications. Outside work, Parvez enjoys watching movies. Connect with Parvez on LinkedIn if you would like to learn more about Skillshare Engineering.
How Skillshare increased their click-through rate by 63% with Amazon Personalize
Skillshare is the largest global online learning community for creativity. They offer thousands of inspiring classes for creative and curious people on topics including illustration, design, photography, video, freelancing, and more. Skillshare wanted their members to easily discover relevant content with a seamless discovery process of personalized recommendations. Skillshare decided to test Amazon Personalize from AWS to make these data-fueled recommendations for members with machine learning. This blog post describes their Amazon Personalize solution architecture, their AWS Step Functions process, and the results of their experiment.