AWS Machine Learning Blog
Category: Media & Entertainment
Power recommendations and search using an IMDb knowledge graph – Part 3
This three-part series demonstrates how to use graph neural networks (GNNs) and HAQM Neptune to generate movie recommendations using the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million […]
Create synthetic data for computer vision pipelines on AWS
Collecting and annotating image data is one of the most resource-intensive tasks on any computer vision project. It can take months at a time to fully collect, analyze, and experiment with image streams at the level you need in order to compete in the current marketplace. Even after you’ve successfully collected data, you still have […]