Game Recommendation System
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This AI-powered recommendation engine is built to help
gaming platforms enhance user engagement through
intelligent personalisation. By analysing player behaviour,
game content, and interaction patterns, the system can
deliver suggestions that keep players discovering new
content and returning to the platform.
The solution is designed for deployment on AWS by using services
such as Amazon SageMaker for machine learning model training
and deployment, and AWS Glue and Lambda for data
preparations. The architecture supports a wide range of use cases
from cold start scenarios to churn risk mitigation. A modular
approach helps with integration and supports continuous
improvement.
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